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Proceedings Paper

On the roles of advanced signal processing in remote sensing
Author(s): Chi Hau Chen
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Paper Abstract

While most remote sensing data are in images, and thus image processing techniques are most often considered, the roles of signal processing, especially of those emerging or advanced signal processing techniques received much less attention. In this tutorial paper, we will examine four advanced signal processing techniques and assess their roles in remote sensing: vector time series analysis, compressed sensing, the new component analysis using non-negative matrix and tensor factorization and the Hilbert-Huang transform. The strength of each approach and its role in remote sensing are presented.

Paper Details

Date Published: 28 September 2009
PDF: 6 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747709 (28 September 2009); doi: 10.1117/12.836022
Show Author Affiliations
Chi Hau Chen, Univ. of Massachusetts Dartmouth (United States)


Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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