Web-based distributed processing tools for crop classification using CGDI databases

George A. Lampropoulos; J. Chan; Adina Bardas; Heather McNairn; Brian Low

doi:10.1117/12.506114

24 December 2003 Web-based distributed processing tools for crop classification using CGDI databases

George A. Lampropoulos, J. Chan, Adina Bardas, Heather McNairn, Brian Low

Proceedings Volume 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII; (2003) https://doi.org/10.1117/12.506114
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

This paper is devoted to change detection for precision agriculture. It presents a new change detection methodology and an overview of an online image processing tool (www.signalfusion.com) with direct applicability for crop classification. The change detection algorithms discussed in the paper will be implemented on the web. They preserve the fine details of the pixel changes and furthermore may be used for crop classification. Image registration, calibration/normalization, pixel level transformations, clutter suppression and pixel level change detection are discussed and new technologies are presented. The effectiveness of the proposed technology is being tested on real SAR data with partial truthing.

Citation Download Citation

George A. Lampropoulos, J. Chan, Adina Bardas, Heather McNairn, and Brian Low "Web-based distributed processing tools for crop classification using CGDI databases", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.506114

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