28 September 2009 On the roles of advanced signal processing in remote sensing
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi Hau Chen, Chi Hau Chen, } "On the roles of advanced signal processing in remote sensing", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747709 (28 September 2009); doi: 10.1117/12.836022; https://doi.org/10.1117/12.836022

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