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Proceedings Paper

Web-based distributed processing tools for crop classification using CGDI databases
Author(s): George A. Lampropoulos; J. Chan; Adina Bardas; Heather McNairn; Brian Low
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Paper 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.

Paper Details

Date Published: 24 December 2003
PDF: 12 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.506114
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
J. Chan, A.U.G. Signals Ltd. (Canada)
Adina Bardas, A.U.G. Signals Ltd. (Canada)
Heather McNairn, Natural Resources Canada (Canada)
Brian Low, Natural Resources Canada (Canada)


Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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