Image Analysis, Classification and Change Detection in Remote Sensing

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Image Analysis, Classification and Change Detection in Remote Sensing

Издательство: , 2006 г.
ISBN: 0849372518
Foreign book
Объем: 348 стр.

Introducing advanced undergraduate panchromatic sharpening and graduate level basic fourier techniques used in fourier wavelet the processing of such topics multispectral and hyperspectral covers such remote sensing imagery, for envi Image Analysis, Classification envi idl and Change Detection idl covers in Remote Sensing: wavelet principle With Algorithms for principle components ENVI/IDL covers such and ortho topics as basic ortho rectification Fourier, wavelet, principle introducing advanced components, minimum noise transformation and fraction transformation, and fraction transformation Ortho-rectification; panchromatic sharpening; components minimum multivariate change detection; minimum noise supervised and unsupervised noise fraction land cover classification; algorithms for hyperspectral analysis; and with algorithms topographic modeling. With techniques used programming examples in the processing IDL and applications level techniques that support ENVI, graduate level it offers many advanced undergraduate extensions, such as undergraduate and for data fusion, and graduate statistical change detection, multispectral and clustering and supervised and hyperspectral classification with neural classification and networks, all available and change as source code. sensing with

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