Gauss-filtration-based feature extraction for IR image analysis

Lixin Wu; Shanjun Liu; Yongqiang Li; Wenzhong Shi; Yuhua Wu

doi:10.1117/12.511619

5 February 2004 Gauss-filtration-based feature extraction for IR image analysis

Lixin Wu, Shanjun Liu, Yongqiang Li, Wenzhong Shi, Yuhua Wu

Proceedings Volume 5238, Image and Signal Processing for Remote Sensing IX; (2004) https://doi.org/10.1117/12.511619
Event: Remote Sensing, 2003, Barcelona, Spain

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.

Citation Download Citation

Lixin Wu, Shanjun Liu, Yongqiang Li, Wenzhong Shi, and 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); https://doi.org/10.1117/12.511619

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