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Proceedings Paper

Discrimination of water from shadow regions on SAR imagery
Author(s): JianZhong Qian; Robert M. Haralick
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Paper Abstract

Unlike MSS LANDSAT imagery and other photography the specific characteristics of the intensity of water and shadow in an SAlt image make the task of discriminating them extremely difficult. In this paper we present a scene analysis system for automatically identifying the water regions and shadow regions whose differences appear as subtle differences in tone and texture. In the preprocessing a region dependent Multi-threshold Adaptive Filter (MTAF) is proposed for texture preserving noise removal. In the low-level labeling a probabilistic relaxation algorithm with dynamic adaptive compatibility coefficients is provided to extract the initial object regions. In the high-level interpretation a relational graph model based on the knowledge of water and shadow regions on SAR imagery is constructed. Then spatial reasoning is carried out according to this relational model. The contextual information from different processing modules either at the pixel level or region level is consistently combined to reduce the labeling ambiguities. The experiments shown that more than 85 of shadow regions and water regions on a set of four SAR images can be identified correctly by this system. 1.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); doi: 10.1117/12.21292
Show Author Affiliations
JianZhong Qian, Virginia Polytechnic Institute and State Univ. (United States)
Robert M. Haralick, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 1297:
Hybrid Image and Signal Processing II
David P. Casasent; Andrew G. Tescher, Editor(s)

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