remote sensing

If it is possible to decompose mixed pixels, this will be very helpful for extensively utilizing the remote sensing data.

Classification is an important step in remote sensing image processing, it is often the base of other advance applications.

One of the difficult techniques of a remote sensing satellite is to make its attitude control system to a certain accuracy.

The acquired remote sensing images often contain large quantities of thick cloud covering all the surface features in the actual situation.

Around the clock collection of terrain data is possible through the use of remote sensing.

With feedback remote sensing, you connect extra sense wires to the point where the excitation voltage wires connect to the bridge circuit.

Do not use hot-switching with remote sensing since the voltage from the source may become excessive during switching.

In mineral resources prospecting with remote sensing, mineralization-alteration information extraction is one of the crucial steps.

Target detection for the airport shelters in remote sensing images is one of the significant aspects in target detection and recognition.

Multitemporal remote sensing image change detection has been used in civil economy and national defense widely.

Remote-sensing and telecommunications satellites account for about 71% of the total number of satellites developed and launched by China.

Selecting the characteristic points is one of the critical steps during the image registration for remote sensing.

From the experimental result, we can see that this method can enhance the veins feature, and hold the details of remote sensing image.

The accuracy of that high-resolution satellite remote sensing data provides basic map for land use investigation updating and mapping.

This kind of instrument can be used for carrying out calibration in the quantitative remote sensing of vegetation.

The extraction of synchronization is one of the key technologies in the design of remote sensing satellite ground record and archive system.

In the northwest of China, it is possible to advance the remote sensing inspection of farming and stockbreeding through using this method.

The detection and estimation of crop planting area is one of the key technologies of the remote sensing application in agriculture field.

Land surface temperature( LST ) retrieval has been a key issue in the thermal infrared remote sensing research area.

Thermal infrared remote sensing is an important branch of remote sensing whereas LST retrieving is the premise of it.

The model divides a hyperspectral remote sensing scene into a surface scene and an atmosphere scene.

Finally the paper introduces the flow of order and management of remote sensing data, and analyses the prospect of this software system.

Thus, the infrared remote sensing and its census are expected to be the productivity essential for the informationized earth.

By means of advanced remote sensing, the distribution and change of ground heat field can be monitored synchronously and continuously.

To extract roads from remote sensing imagery is one of the important parts in constructing and updating geo-database.

Focusing is one of the key technologies of high-resolution remote sensing camera to receive high quality images.

Satellite photography and radar are techniques commonly used for remote sensing.

The remote sensing devices his research team has deployed are helping to track how that water moves across the land.

Lossless data compression is one of the major services in space flight missions and remote-sensing systems.

Remote sensing refers to the spirit of the mind control is the power of objects, with the mental strength to move or distort objects.

Remote sensing image classification is always a pivotal part of remote sensing study.

The technical advancement was to give rise to a whole new approach to remote sensing.

The noise analysis evaluation and filtering of remote sensing image have always been an important research field.

With the deepening of its application, the requirement for the quality of remote sensing information is continually improved.

In this paper, we focus on the semi-automatic road feature extraction from remote sensing images by means of human-machine cooperation.

Remote sensing image quality evaluation can be assessed from the geometric quality, content integrity of the structure quality.

It is held that the combination of remote sensing and sampling technology can be effectively used in area measurement.

Thematic mapping is one of the major application fields of remote sensing techniques.

High resolution optical remote-sensing images have been widely used in many civilian and military aspects.

The purpose of this project is to extract information of current fault activity by analyzing data of thermal infrared remote sensing.

The hyperspectral remote sensing technology has become one of the leading technologies in forestry remote sensing domain.

Remote sensing is primary technology used for change detection.

One of basis of water color remote sensing is to obtain and analyze the optical properties of the water bodies.

It is one of tile most systematical exemplifications on basic experimental procedures for optical remote sensing.

The corresponding software for the quality prognosis of a compressed remote sensing date is developed.

Remote sensing have been widely used as one of important measures in land and resource management.

This article focuses on locating algorithm for laser remote sensing of natural gas leakage in the case of non-cooperative target.

Water remote sensing technology is widely used in dynamic monitoring of flood, drought, water resources, water environment, etc.

this research mainly adopts remote sensing technology , field investigation , expert consultation , information analysis and analogy method.

Systematic spectroscopic studies of minerals and rocks are the basements for hyperspectral remote sensing development.

Earthquake monitoring and forecasting by means of remote sensing tools has become the forefront of seismic research and hot topic.

The polarization degree of the scattered light has particular ability in the detection of remote sensing for the aerosol and pollutant gas.

Land surface emissivity (LSE) is an essential parameter for land surface temperature (LST) retrieval from thermal remote sensing data.

Finally an experiment on real remote sensing imagery is carried out to demonstrate the effectiveness of our proposed scheme.

So it well makes up for the shortage of traditional thermal remote sensing on detecting oil spills on water.

Currently, the space remote sensing method can be used to meet the demands of social public products.

The appearance of remote sensing image catalog technology has provided a solution for this issue.

In this paper, an object-based image analysis method was used to detect the ground collapse sites using remote sensing images.

Remote sensing techniques are useful in ultraviolet, visible infrared, and microwave regions of the electromagnetic spectrum .

Further, it is one of the key techniques for both satellite remote sensing and sea explorations.

This paper makes a study of the application of remote sensing technology to the continuous forest inventory in Hunan Province in 2004.

Using the remote sensing phantom to renew the water body has already become the principal means of the water body monitor.

Developmental prospects of the remote sensing technique in marine environment pollution monitoring are also discussed.

Celebrating Hongkong Return Motherland, Promoting Jingjiu Prosperity, Talking about Remote Sensing Application.

Different remote sensing monitoring methods are needed for the medicinal plant resource in different types of ecological environment.

Methods Applying the difference in geology, geophysics and remote sensing data between the middle and neighboring areas in west margin.

The response of vegetation to increased levels of rainfall can be easily measured and monitored by Remote Sensing Satellite Imagery.

Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.

Areas of activity include Earth remote sensing, hydrometeorology , manned space flights, and communication and positioning service projects.

Secondly, it should be enhanced the supervision of land taking advantage of satellite remote-sensing and GIS technology.

Simulation results are carried out with images like Lena, remote sensing, and SEM.

Nowadays, the application of laser remote sensing is a great chance for protecting ancient architectures and historic districts.

Practice shows that the method is efficient and can be widely applied in actual remote sensing images compression.

Polarization remote sensing is of important value to the detection of camouflaged military targets.

Currently mesh reflector antennas are utilized onboard the spacecraft for satellite communications, remote sensing and VLBI applications.

Prove hyperspectral remote sensing image relatively stronger spectrum dependence and relatively weaker space dependence.

These results suggested that it was feasible to monitor and predict main grain quality in rice by using remote sensing technique.

Using MODIS remote sensing data to monitor rivers brings obvious advantages since it has high temporal resolution.

Sofradir, a French remote-sensing defence contractor, plans to start making a "multichannel" missile-detection system later this year.

The invention relates to radar remote sensing technology, in particular to a method for acquiring the cross section of radar.

Using the difference of the visible light and near infrared band reflectance , the water bodies can be extracted from remote sensing data.

The experimental results for remote sensing data indicate that the proposed approach can improve classification accuracy.

Jenkins specializes in using GIS (geographic information systems) and remote-sensing technology to map priorities for conservation actions.

Average amount of satellite remote sensing image data are often large in GB as a unit.

It is widely used in the regions of medicine, remote sensing, computer vision, weather forecast, and military target recognition, etc.

The regional soil erosion situation is evaluated when remote sensing data are applied to interpret vegetation cover.

Recently, remote sensing technology plays an important role in the work of geological prospecting and metallogenic zone forecasts.

Survey and design the latter part of the site needs to add in the remote sensing survey has allowed geologists to better avoid the omission.

The results will provide the operative recommendation and reference for HSR when using remote sensing as the monitoring tools.

RS- fathoming is one of the most applications in remote sensing in coast.

Cartographic method of regional specialization of agriculture with remote-sensing information and other information were used in the paper.

Remote sensing image registration and fusion is an important image processing technology in remote sense field.

In order to take advantage of remote sensing data , we must be able to extract meaningful information from the imagery.

Our directional transforms and coding algorithms are practical for the high speed and high fidelity transmission of remote sensing images.

Taking Lijiang city as an example, faulted structure information is extracted with remote sensing digital image processing techniques.

The results involve semantic knowledge, and therefore provide information for further interpretation of remote sensing image.

In a statistical sense, the alteration anomaly of remote sensing hyper(multi-) spectral data set is identifiable.

Pulsed blue laser has important applications in underwater detection, underwater communication and remote sensing.

In this paper, the characters of hyperspectral remote sensing comparing to traditional low spectral resolution remote sensing were analyzed.

The results show that the method is an effective method of automatic registration of remote sensing images.

Some initial investigations are conducted to employ DNA computing for hyperspectral remote sensing data classification.

Compared with general data management, data management in remote sensing satellite ground system has its special characteristics.

A comprehensive summary of the characteristics of remote sensing images, remote sensing target features.

Actually, the essential attention of remote sensing and its application is focus on imaging and inversing spectrum characteristics.

She has researched planetary resources and remote-sensing topics with the goal of identifying optimum sites for a lunar outpost.

Low frequency noise is one of the most important factors in infrared detectors for space remote sensing applications.

Remote sensing image resolution is important indicator of the ability of a country in the field of satellite remote sensing.

The texture information of remote sensing is a general reflection of the spatial characteristic for ground object.

It is very suitable for space and serial remote sensing equipment due to its compact and high reliable structure.

The accuracy of attacked effect evaluation, in which the craters recognition errors are existed in the remote sensing images, is discussed.

Monitoring water pollution status using remote-sensing techniques has the advantage of large scale coverage and real-time processing.

The problems of pixel mixture are the main obstacles of quantitative remote sensing.

The calibration of radiometric sensors is critical to ensure the accuracy of the remote sensing data and their usability.

Through screening and evaluation, the prospecting target can be delineated and the remote sensing map can be drawn.

The simulation results give references to design reentry remote sensing system rationally in engineering application.

At last, some principled problems about the practical application of the methods to remote sensing data classification are discussed.

Remote sensing technology plays a great role in monitoring the urban composition and temporal-spatial changes.

Remote sensing archaeology is now widely used in field archaeology for no limit of time and space.

Risk of epidemics is closely linked to climatic conditions; malaria early warning systems using remote sensing are increasingly being used.

Automatic video mosaic construction has wide applications in civil life, remote sensing, survey of sea floor and underwater structures.

The frame and key technological parameters of the laser remote sensing echo waveform collection system were stated.

Spectral information contained in hyper-spectral image have great value in remote sensing classification and recognition.

Due to the effect of a sensor, atmosphere etc, remote sensing images are degenerated.

This paper presents a ship detection method combining wavelet analysis and directional filtering for cloudy remote sensing images.

Experiments testify that the algorithm could effectively detect edge of multi-spectrum remote sensing image.

High-resolution images of remote sensing has played important role on land survey, mapping, urban planning, aviation and national defence.

Then, this thesis researched the classification techniques of the single-sensor remote sensing image.

The prospecting advancement through remote sensing is mainly depended on the techniques of information extract. . .

The performance of the method is validated using high resolution satellite-borne remote sensing images of airport.

To get sea surface temperature by remote-sensing has high real- timeliness , but the data quality varies with the atmospheric environment.

This paper attempts to use the remote sensing and quantitative methods to probe into changing of ecological resilience in Yutian, Xinjiang.

A fast fuzzy algorithm for the segmentation of urban areas especially in panchromatic remote sensing images was proposed.

Remote sensing technology provides a powerful means to earthquake post survey and secondary geological disasters survey.

It is quite important meaning that landscape pattern and changes research using remote sensing data in coal mining area.

Studies of Jovian magnetosphere via local measurements of charged particle fluxes and by remote sensing of auroral emissions .

A new research method was provided by Remote sensing, Geographic Information System technology and Global Positioning System technology.

Field measurement and remote sensing measurement are rudimental approaches to get vegetation coverage.

In much of remote sensing, the process involves an interaction between incident radiation and the targets of interest.

The development of satellite remote sensing technology provided effective means of monitor for the resource of salt industry production.

Studies on Grass Yield Monitoring Models for Different Natural Grassland Types Using Remote Sensing Data in Northern Xinjiang .

The information of Object-oriented classification could meet the plan production and application of mine remote sensing survey.

High spatial resolution remote sensing data is an important direction of the development of remote sensing technology.

Taking the Changdu county as study area and using remote sensing data, hazard information was extracted, and hazard factors were analyzed.

But even he agrees that the best approach will be to combine remote sensing data with information from field plots.

With remote sensing, external sense connections are made across the load.

Therefore, some signal conditioners include a feature called remote sensing to compensate for this error.

This atomic filter can find practical applications in long-distance laser communications and laser remote-sensing systems.

It has obviously effective to monitor coal, sand, and aluminum mines by using remote sensing technology.

Integrating thermal remote sensing and climatology provides a new method for observation and mechanism analysis of urban heat island.

The result shows that the investigation of coal mining collapse area with remote sensing technology is a quick and efficient method.

Sub-micron absorbing particles, in addition to the Asian dust, should be considered in the optical remote sensing of East-Asian waters.

Remote sensing for detecting and monitoring oil spills include airborne remote sensing and satellite remote sensing.

The geological remote sensing characteristics show that there is great potential for the prospecting of gold deposit in the area.

Based in Nairobi, Kenya, it provides capacity building and advisory services for surveying, mapping, remote sensing and GIS.

The satellite remote sensing technique plays a significant role in the preliminary phase of city faulted structure telemetry.

The space remote sensing instrument is an essential component in the applied satellite.

Remote sensing image classification is a research foundation of land utilization and vegetation change.

Soil-adjust remote sensing indices using different algorithm to reduce effect of soil background have limitation respective.

Image correspondence is a very hot topic for image panorama, remote sensing and image retrieval.

Due to the weather conditions and other factors, the cloud-free access to clear large areas of remote sensing image is almost impossible.

Some problems in the quantitative application of thermal infrared remote sensing for some researchers were also pointed out.

It also provides a more powerful tool to compress the remote sensing data than traditional methods.

Precision forest species classification is a significant project in forestry remote sensing.

This paper proposes a new method to construct distributed retrieval system for remote sensing images using OGC WPS specification.

Nowadays, remote sensing technique has become the main method for monitoring biodiversity on regional and global scale.

Remote sensing is defined as collecting information about an object without being in physical contact with the object.

It can be prolific and damaging but it can occur in tiny pockets scattered over the forest and be much harder to spot with remote sensing.

Tibet shrub with larger area, and many plaques for pure, using remote sensing tools for classification and identification.

Furthermore, how to share the algorithms and software resource of the remote sensing data processing is an emergent problem now.

The authors mainly review methodologies of assessing erosion controlling factors by remote sensing.

This method is particularly suitable for high-resolution remote sensing data for information extraction.

As part of the FRA 2010, FAO, its member countries and partner organizations will undertake a global remote sensing survey of forests.

Remote sensing offers a potential way of monitoring large area for the cultivation of hemp.

Remote sensing technology is an effective way to continually, rapidly and dynamically monitor the large-scale environment.

The computational power becomes the bottleneck of the remote sensing data processing.

A new method of radiowave refractive error correction is given, which adopts atmospheric remote sensing by microwave radiometer.

This paper has described the application of remote sensing technology in environmental monitoring.

Reliable simulation of optical remote sensing image owns strong application background.

The intelligent remotely sensed image understanding is a topic of general interest on geo-analysis of Remote Sensing.

During an eruption, remote sensing and satellite imagery can help identify a plume's composition and levels of volcanic gasses.

The long time serial remote sensing images include a lot of noise and bad data, which brought many difficulties onto the classification.

Malaria early warning systems using remote sensing of climatic conditions are increasingly being used.

Remote sensing technology provides an effective method for survey and monitoring of wetland resources.

The technology of remote sensing which is a synthetical science in spacial information have been developed rapidly in recent years.

The role of remote sensing is much smaller during construction than at the preceding planning and design stages.

spatial distribution characteristics are analyzed according to remote sensing classification results.

More recently, the retrieval of ocean primary production by remote sensing has become a hot research issue in the scientific society.

Then the thesis discusses the storage structure and data model of remote sensing images, and proposes a reasonable plan.

Remote sensing and image processing technology to enable access to world-wide spatial information be possible.

This paper summarizes progress for ocean primary productivity using remote sensing studies.

At last, this paper introduced the designation and implementation of the Road Data Generation System of Remote Sensing Image (RDGSRS).

The processing of high spatial resolution remote sensing (HSRRS) data has become a major focus in the remote sensing field since the 1999s.

As a new remote sensing tool, the GNSS-R technique is imperfect and developing, so the future work has been outlined in the end of the text.

Infrared camera takes remote sensing image when it moves around the earth, however, the earth revolves around itself at the same time.

Finally, experiments are made based on an actual remote sensing camera's imaging electronics system in laboratory.

The hyper spectral remote sensing characterized with high-speed, cheap, accurateness.

Hyperspectral remote sensing data recorded the continuous spectrum of terrain target.

Edge detection is an important aspect for remote sensing image processing.

With the development of low attitude remote sensing, study of the low attitude remote sensing platform improved rapidly in recent years.

UAV remote sensing technology can remedy detects of satellite remote sensing, aerial remote sensing.

Conclusion The remote sensing data on flood can help fully analyze the epidemic situation of malaria and encephalitis B.

Remote sensing technique can completely interpret and recognize the structual characteristic of active faults on macroscopic view.

Yu GW, Tang LH, Zeng G, et al. The application of remote sensing data in epidemic situation analysis of malaria and encephalitis B.

The technology of natural color simulating will have wide prospects in forestry remote sensing.

Our research could improve the quantitative research of airborne multi-angle and multi-band remote sensing data.

Remote sensing image data is huge and increasing unceasingly, and real-time processing is desired generally.

Aerosol and surface albedo are two important factors influencing quantitative remote sensing NO2 column with SCIAMACHY observed data.

Remote sensing image classification is an important research field of information processing.

Philip Frost is a remote sensing specialist at CSIR-Meraka Institute in South Africa and is the AFIS project leader.

But by 2000, remote sensing and GIS technology had become highly developed, user friendly and fairly cheap.

It is an important problem to detection of clouds and their shadows for remote sensing application.

His technical expertise is mainly focused on Hydrogeology and Water Resources, and GIS, Remote Sensing.

Multispectral remote sensing images are those obtained from one object by the multispectral sensor in multiple narrow spectral ranges.

Scale is an important factor in the application of remote sensing which directly influences the effect of analysis.

Finally, a few problems which should be solved and pay attention to in data mining from remote sensing image are discussed.

This article proposes an effective adaptive2-dimension blind watermarking algorithm based on character of a remote sensing image.

Fire automatic recognition is the key to increase the response-speed in fire detection using remote sensing data.

Relevance feedback (RF) based on multiple instance learning (MIL) was applied to the remote sensing image retrieval.

The crop growth monitoring system using remote sensing technology has some shortcomings.

Detection and removal of cloud and haze are arduous problems in optical remote sensing imagery processing.

Firstly, introduced the development at home and abroad of Remote Sensing Image Database, made a preliminary understanding on it.

They study math, computer, and other techniques, including the interpretation of aerial photographs and remote-sensing data.

The paper reviewed the progresses in the application of remote sensing to surface water quality monitoring.

Stock volume which is an important factor in forest resources investigation can't be obtained directly by remote sensing image.

Based on the line and circle structures network, the remote sensing and geological integrative prospecting model of the belt is bui . . .

During the simulation of high-resolution remote sensing image, it is necessary to focus on the process of atmospheric radiative transfer.

The result shows that evaluating remote sensing imagery products by the method is reasonable and rapid.

A background article outlines the key ways of using satellite remote sensing to manage natural disasters.

Focused quantitative analysis of remote sensing and estimation aspects.

Band noise seriously affects the interpretation of remote sensing data and the extraction of information.

Kulkarni's team combined data from two Indian remote sensing satellites with field observations.

A general method of making remote sensing investigation on urban ecological environment was put forward.

A valid texture feature analytical method is proposed to detect cloud in satellite remote sensing image.

Later, they used computers to convert remote sensing data into colour maps of the theater.

Field teams carry out all fieldwork, and national experts interpret remote sensing imagery.

A new method for the decomposition of mixed pixels of multi-channel remote sensing images is proposed.

A wealth and rich of information can been interpreted from remote sensing images used some technical means.

Marine Remote Sensing Company in Halifax, Nova Scotia, canada Bringing Space Technology to Sea.

A fast algorithm to detecting runway from high resolution remote sensing images is presented in this thesis.

Therefore, how to effectively interpret mixed pixels is an important problem of hyperspectral remote sensing applications.

From technical point of view, we will also suggest a practical scheme for disaster survey using remote sensing technology.

In this paper, the authors introduce the methods of remote sensing to monitor thermal pollution in metal mines.

Application research of multi-angle hyper-spectral remote sensing in forestry had been carried continuously recent years in China too.

At present the remote sensing technology is applied in a large scale in the environmental science domain, also has achieved a better result.

In addition, combined with the characteristics of remote sensing data, the modified algorithm is updated for remote sensing image cluster.

Cloud detection is absolutely necessary in the processing of satellite remote sensing data.

With development of modern war, it will be a direction that using remote sensing to pre-detect and monitor water resource in war district.

Besides , the remote sensing imagery contains lots of detail information of texture .

Laser Doppler vibrometer (LDV) has a potential application prospect in remote sensing.

Development of remote sensing technique has strongly related with the studies of spectral features of ground objects.