Methods to enhance geological structures in remotely sensed images based on the spatial difference of spectrum and their applications

Jiping Liu; Qiuwen Zhang; Zhengrong Zuo; Yanbing Yuan

doi:10.1117/12.441402

25 September 2001 Methods to enhance geological structures in remotely sensed images based on the spatial difference of spectrum and their applications

Jiping Liu, Qiuwen Zhang, Zhengrong Zuo, Yanbing Yuan

Author Affiliations +

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441402
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Geological structures used to be faint and blur in remotely sensed image as they are usually buried or hidden under the ground. In spite of that, the information of them can be found out in single band or multi-bands of the multi-spectrum data. Geological structures can be considered as image anomalies upon complex background. It is an important approach for geological structure enhancement to enhance the difference between the anomaly and its background in single band or multi-bands. Characteristics of spatial spectral distribution is thus special significant for image processing. Along this way, we improved on two methods, mean-residue (MR) and selective principal component analysis (SPCA), with emphasis on spatial spectral analysis, to enhance geological structures. Applications of the methods to actual TM data have arrived at good results. The keys of the two methods are respectively the determination of filter kernel and the selection of band pair.

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Jiping Liu, Qiuwen Zhang, Zhengrong Zuo, and Yanbing Yuan "Methods to enhance geological structures in remotely sensed images based on the spatial difference of spectrum and their applications", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441402

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KEYWORDS

Image enhancement

Image filtering

Principal component analysis

Image processing

Image segmentation

Optical filters

Remote sensing

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