hyper spectral

Light may be emitted in ultraviolet or infrared wavelengths to produce a hyper spectral image.

Unfortunately, in hyper-spectral image classification, training samples are usually limited.

Meanwhile, an advanced requirement for self developing Hyper-spectral Imaging Spectrometer in short wave and near infrared band is proposed.

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

The initial experiment researching was completed to detect pesticide residual using laser hyper spectral imaging.

Hence, effective feature extraction is the key issue of hyper-spectral images recognition and classification.

This demonstrates that hyper spectral image is an effective way to estimate biochemical components of vegetation at large scale.

The hyper-spectral inversion model of black soil moisture content provides a new approach for rapid soil moisture monitoring.

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

Therefore, the article on the mixed pixel is decomposed, and then on hyper spectral image classification.

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

They have these hyper-spectral images that are false-colored so you can -- it's really good for determining vegetative use.

The slit of Hyper Spectral Imager (HSI) is introduced, which plays a key role in the instrument.

Firstly, hyper spectral image of each band is decomposed by NSCT.

In this article a new hyper spectral image compression method is proposed.

Self training classification based on EM algorithm for hyper-spectral image.

THSI paper tries to use the HSI hyper-spectral data of environmental mitigation Satellite (HJ-1A) to quantitative inversed soil salinity.

In addition, a hyper spectral image compression system is developed, which utilizes ECPTCQ.

The Correlation between the Biochemical Parameters and Hyper-spectral Remote Sensing Parameters of Young Camphor Trees

Adaptive band selection method of hyper spectral image using adaptive subspace decomposition

Hyper-spectral Application to Monitoring Plumbum Pollution of Vegetation

The MLC's Problem in Classification of Hyper-spectral RS Image and Its Solving Method

Summarization of hyper-spectral image data compression algorithms

Inversion of the severity of winter wheat yellow rust using proper hyper spectral index

Fractal Dimensions Being An Index of Bands Selection for Hyper-spectral Remote Sensing Data

A multi-layered decomposition of hyper-spectral image compression

Hyper spectral properties analysis of grassland types in Xinjiang

Hyper-spectral Estimation Models of the Chlorophyll Contents of Young Camphor Trees Based on Remote Sensing Data

A novel robust algorithm for hyper-spectral image coding with lower complexity

Interference Hyper-Spectral Images Compression Based on Classification and Curve-Fitting

Application of Hyper-Spectral Remote Sensing in the Study of Water Body Containing Suspended Particles

A Novel Coding Algorithm for Interference Hyper-Spectral Images Based on Classification and Curve-Fitting

Study on Intelligent System of Hyper-Spectral Data Gathering Based on Wireless Data Communication Technology in Farm Machinery

Research on Stealth Technology of Hyper-spectral Based on Thermistor Composition

The Analysis of Mineral and Rock's Hyper-spectral Library

Compression of hyper-spectral images based on adaptive quantization

The Hyper-Spectral Image Compression Scheme Based on Spectral Character

Updating method of land use database based on hyper-spectral and high resolution images

Study on the Approaches for Segmentation of Hyper-spectral Images Based on DMN

Study on Intelligent System of Hyper-Spectral Data Gathering Based on GPS in Farm Machinery

Recognition of red tide by hyper-spectral image method based on EM-MLC