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Proceedings Paper

Gauss-filtration-based feature extraction for IR image analysis
Author(s): Lixin Wu; Shanjun Liu; Yongqiang Li; Wenzhong Shi; Yuhua Wu
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Paper Abstract

Infrared (IR) image analysis is important for extracting IR anomaly features in the fundamental experiments of Remote Sensing Rock Mechanics (RSRM) and for identifying omen for tectonic earthquake based on satellite remote sensing monitoring. Transferring the IR image into a raster contour map is very useful, but usually a raster contour map transferred is not smooth enough for the disturbance of noise and the limitation of spatial resolution of the image. A Gauss filter, G(i,j) ≡ ke i2+j2/σ2, is selected for generating raster contour map. The practical appplication cases in image analysis and feature extraction for RSRM experiments suggest that the raster contour map is smooth enough for quantitative analysis, and is helpful for IR feature extraction and for anomaly identification. As compared to mean filter and median filter, the Gauss filter is effective both in filtering speed and in contour map's quality for the condition that filter width be 9~15 and σ be 0.2~0.6.

Paper Details

Date Published: 5 February 2004
PDF: 8 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.511619
Show Author Affiliations
Lixin Wu, China Univ. of Mining and Technology (China)
Polytechnic Univ. of Hong Kong (China)
Institute of Rock and Soil Mechanics (China)
Shanjun Liu, China Univ. of Mining and Technology (China)
Yongqiang Li, China Univ. of Mining and Technology (China)
Wenzhong Shi, Polytechnic Univ. of Hong Kong (China)
Yuhua Wu, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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