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Proceedings Paper

Evaluation of edge detection for panchromatic remote sensing image based on ROC curve
Author(s): Man Peng; Shanshan Li
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Paper Abstract

ROC (Receiver Operating Characteristic) analysis has been widely used to evaluate detection performance. It solves binary hypothesis testing problems. It is difficult to get real edge of remote sensing image. As a result, they are not directly looked as hypothesis testing problem. In this paper, we first introduce a method to generate reference edge map (REM). Using two sets of synthetic image to test its robustness. Edge detectors are tested on three panchromatic remote sensing images, and then we generate test ROC curves based on REM and compute the area under the curves. Quantitative results are discussed.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902B (14 November 2007); doi: 10.1117/12.750499
Show Author Affiliations
Man Peng, Anhui Univ. of Science and Technology (China)
Shanshan Li, Anhui Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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