Download e-book for kindle: Frontiers of Remote Sensing Information Processing by Chi Hau Chen

By Chi Hau Chen

ISBN-10: 9812383441

ISBN-13: 9789812383440

Written through leaders within the box of distant sensing info processing, this paintings covers the frontiers of distant sensors, specially with potent algorithms for signal/image processing and trend reputation with distant sensing info. Sensor and knowledge fusion matters, SAR photos, hyperspectral photos, and similar targeted subject matters also are tested. thoughts using neural networks, wavelet transforms, and knowledge-based platforms are emphasised. a distinct set of 3 chapters is dedicated to seismic research and discrimination. In precis, the amount offers an authoritative therapy of significant themes in distant sensing info processing and defines new frontiers for those parts

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For higher order statistics, the dependence is judged by joint cumulants, and independence means that the mutual joint cumulants are zero. Generally speaking, we deal with non-Gaussian random variables. So it is necessary to consider higher order statistics for independence. Before proceeding with the proposed approach, we would like to review a basic structure of ICA The structure has 3 levels. X is the input mixed signal. The first step is to whiten the input data X and reduce dimension if necessary.

Following a segmentation process that computes an approximate poly- 37 gon decomposition of each scene, region level features describe properties shared by groups of pixels. Scene level features describe statistical summaries of pixel and region level features, and the spatial relationships of the regions composing a scene. This hierarchical scene modeling bridges the gap between feature extraction and semantic interpretation. ViSlMlNE also provides an interactive environment for training customized semantic labels from a fusion of visual attributes.

15. A. (2002). Hyperspectral data classification using nonparametric weighted feature extraction. Proc. Int. Geoscience and Remote Sensing Symposium (IGARSS) 2002, Toronto, 24-28 June. 16. J. (1965). Y. 17. Lennon, M, Mercier, G. and Hubert-Moy, L. (2002). Classification of hyperspectral images with nonlinear filtering and support vector machines. Proc. Int. Geoscience and Remote Sensing Symposium (IGARSS) 2002, Toronto, 24-28 June. 21 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32.

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