Discrete-Time Kalman Filtering for Hyperspectral Processing
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-45171-8_3
Reference16 articles.
1. Boardman, J.W. 1989. Inversion of imaging spectrometry data using singular value decomposition. In Proceedings of IEEE symposium on geoscience and remote sensing, 2069–2072.
2. Chang, C.-I. 2013. Hyperspectral data processing: algorithm design and analysis. Hoboken: Wiley.
3. Chang, C.-I., and C. Brumbley. 1999a. A Kalman filtering approach to multispectral image classification and detection of changes in signature abundance. IEEE Transactions on Geoscience and Remote Sensing 37(1): 257–268.
4. ———. 1999b. Linear unmixing Kalman filtering approach to signature abundance detection, signature estimation and subpixel classification for remotely sensed images. IEEE Transactions on Aerospace and Electronics Systems 37(1): 319–330.
5. Chang, C.-I., and S. Wang. 2006. Constrained band selection for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing 44(6): 1575–1585.
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