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Fusion of Landsat ETM+ and radar data to enhance the extraction of surface and near-subsurface information

Hongjie Xie and G. Randy Keller
Fusion of Landsat ETM+ and radar data to enhance the extraction of surface and near-subsurface information (in Geoinformatics; data to knowledge, A. Krishna Sinha (editor))
Special Paper - Geological Society of America (2006) 397: 141-151

Abstract

With the introduction of many new types of remotely sensed imagery in recent years, opportunities to compare and integrate these data abound. In this paper, we present a hue-saturation-value (HSV) transformation approach for the fusion of surface roughness and shallow subsurface information from Airborne Synthetic Aperture Radar (AIRSAR) data with surface spectral reflectivity from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. The fused image is informative and brings out new features that are not evident in the original images, and it also helps to identify many features that are not clear in the original images. In this paper, we also present a combined principal components analysis (CPCA) approach to effectively remove the banding noise that degrades the radar image quality. We examine the differences in surface roughness, texture, and penetration ability at different radar frequencies, the differences between radar and optical (ETM+) images, and the utility of radar images in mapping morphologically defined structures such as fault scarps. The earthquake related active faults in the Franklin Mountains and Valentine region in West Texas are presented as examples of successful applications of data fusion.


ISSN: 0072-1077
EISSN: 2331-219X
Coden: GSAPAZ
Serial Title: Special Paper - Geological Society of America
Serial Volume: 397
Title: Fusion of Landsat ETM+ and radar data to enhance the extraction of surface and near-subsurface information
Title: Geoinformatics; data to knowledge
Author(s): Xie, HongjieKeller, G. Randy
Author(s): Sinha, A. Krishnaeditor
Affiliation: University of Texas, Department of Earth and Environmental Science, San Antonio, TX, United States
Affiliation: Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Pages: 141-151
Published: 2006
Text Language: English
Publisher: Geological Society of America (GSA), Boulder, CO, United States
ISBN: 0-8137-2397-3
References: 46
Accession Number: 2006-043277
Categories: Structural geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table, sketch map
N31°19'60" - N32°00'00", W106°37'00" - W105°57'00"
Secondary Affiliation: University of Texas at El Paso, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute.
Update Code: 200624
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