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Development of multiple source data processing for structural analysis at a regional scaleVarious image processing techniques developed for enhancement and extraction of linear features, of interest to the structural geologist, from digital remote sensing, geologic, and gravity data, are presented. These techniques include: (1) automatic detection of linear features and construction of rose diagrams from Landsat MSS data; (2) enhancement of principal structural directions using selective filters on Landsat MSS, Spacelab panchromatic, and HCMM NIR data; (3) directional filtering of Spacelab panchromatic data using Fast Fourier Transform; (4) detection of linear/elongated zones of high thermal gradient from thermal infrared data; and (5) extraction of strong gravimetric gradients from digitized Bouguer anomaly maps. Processing results can be compared to each other through the use of a geocoded database to evaluate the structural importance of each lineament according to its depth: superficial structures in the sedimentary cover, or deeper ones affecting the basement. These image processing techniques were successfully applied to achieve a better understanding of the transition between Provence and the Pyrenees structural blocks, in southeastern France, for an improved structural interpretation of the Mediterranean region.
Document ID
19900049490
Document Type
Reprint (Version printed in journal)
Authors
Carrere, Veronique (JPL Pasadena, CA, United States)
Date Acquired
August 14, 2013
Publication Date
May 1, 1990
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 56
ISSN: 0099-1112
Subject Category
CYBERNETICS
Distribution Limits
Public
Copyright
Other