On the roles of advanced signal processing in remote sensing

Chi Hau Chen

doi:10.1117/12.836022

28 September 2009 On the roles of advanced signal processing in remote sensing

Chi Hau Chen

Proceedings Volume 7477, Image and Signal Processing for Remote Sensing XV; 747709 (2009) https://doi.org/10.1117/12.836022
Event: SPIE Remote Sensing, 2009, Berlin, Germany

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.

Citation Download Citation

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); https://doi.org/10.1117/12.836022

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