Image analysis, classification & change detection in remote sensing, with algori thms for ENVI/IDL
Langue : Anglais
Auteur : CANTY Morton J.
Introducing advanced undergraduate and graduate level techniques used in the processing of multispectral and hyperspectral remote sensing imagery, Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL covers such topics as basic Fourier, wavelet, principle components, minimum noise fraction transformation, and Ortho-rectification, panchromatic sharpening, multivariate change detection, supervised and unsupervised land cover classification, hyperspectral analysis, and topographic modeling. With programming examples in IDL and applications that support ENVI, it offers extensions for data fusion, statistical change detection, clustering and supervised classification with neural networks, all available as source code.
Date de parution : 09-2006
Ouvrage de 348 p.
15x23 cm
Thèmes d’Image analysis, classification & change detection in... :
© 2024 LAVOISIER S.A.S.