5 February 2004 Gauss-filtration-based feature extraction for IR image analysis
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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.
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Lixin Wu, Lixin Wu, Shanjun Liu, Shanjun Liu, Yongqiang Li, Yongqiang Li, Wenzhong Shi, Wenzhong Shi, Yuhua Wu, Yuhua Wu, } "Gauss-filtration-based feature extraction for IR image analysis", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.511619; https://doi.org/10.1117/12.511619
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