DocumentCode :
352843
Title :
Analysis of the segments extracted by automated lineament detection
Author :
Kageyama, Yoichi ; Nishida, MaKoto ; Oi, Takafumi
Author_Institution :
Comput. Sci. & Eng., Akita Univ., Japan
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
289
Abstract :
Lineaments are important features showing subsurface elements or structural weaknesses such as faults. Most lineament maps have been drawn based on fieldwork by experts and visual analysis of enhanced image data. In visual interpretation and mapping of lineaments, geologists use their knowledge and experience to extract the lineaments from the curved and straight lines in image data. A different expert may extract different segment elements through a visual approach. In order to conduct the lineament detection under the same conditions, automatic extraction for lineaments though image processing is useful. In an earlier paper, an extraction method for lineaments using airborne Synthetic Aperture Radar (SAR) data was presented. The results indicated that the segments given by the method agree with a lineament map drawn by experts. The objective of this paper is to examine the relationship between extracted segments from both airborne SAR and Landsat 5 thematic mapper (TM) data and geographical features. River erosion creates various stream patterns that are influenced by the subsurface structure. Many lineaments can be extracted from a drainage system for topography. This paper seeks to compare extracted segments and water systems. Also, relief energies can indicate the level of the river erosion. The relief energy at a study site has been compared and the correspondence between the computation and extracted segments is described. Finally, the difference between segments in SAR and TM data has been compared
Keywords :
Earth crust; feature extraction; geology; geophysical signal processing; geophysical techniques; image segmentation; pattern recognition; radar imaging; remote sensing; remote sensing by radar; synthetic aperture radar; tectonics; topography (Earth); Landsat 5 thematic mapper; SAR; automated lineament detection; automatic extraction; crust structure; drainage system; fault; feature extraction; geology; geophysical measurement technique; image processing; image segmentation; land surface; lineament detection; multispectral remote sensing; optical imaging; pattern recognition; radar remote sensing; relief; stream pattern; subsurface structure; synthetic aperture radar; tectonics; topography; Data mining; Geology; Image analysis; Image processing; Image segmentation; Radar detection; Remote sensing; Rivers; Satellites; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
Type :
conf
DOI :
10.1109/IGARSS.2000.860495
Filename :
860495
Link To Document :
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