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Directional morphological image transforms for lineament extraction from remotely sensed images
Morphological image transforms find their basis in the notions of mathematical morphology. An attempt is made to develop morphological transforms for enhancement of directional edges and lineaments from satellite imagery. Geostructural features are generally oriented in preferred directions. This in...
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Published in: | International journal of remote sensing 2000, Vol.21 (17), p.3281-3292 |
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container_title | International journal of remote sensing |
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creator | Tripathi, N. K. Gokhale, K. V. G. K. Siddiqui, M. U. |
description | Morphological image transforms find their basis in the notions of mathematical morphology. An attempt is made to develop morphological transforms for enhancement of directional edges and lineaments from satellite imagery. Geostructural features are generally oriented in preferred directions. This information has been utilized in designing structuring elements for morphological transforms. Several shapes and sizes of structuring elements have been designed and applied to delineate lineaments in different litho-environments of the same study area. Top hat transform has been applied using the directional structuring elements for edge image at 0
o
, 30
o
, 60
o
, 90
o
, 120
o
and 150
o
. Geological lineaments such as faults could be easily identified on an edge image obtained using top hat transformation followed by an image superimposition technique. The lineament map was developed using directionally enhanced edge images and the results have been verified. |
doi_str_mv | 10.1080/014311600750019895 |
format | article |
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o
, 30
o
, 60
o
, 90
o
, 120
o
and 150
o
. Geological lineaments such as faults could be easily identified on an edge image obtained using top hat transformation followed by an image superimposition technique. The lineament map was developed using directionally enhanced edge images and the results have been verified.</description><identifier>ISSN: 0143-1161</identifier><identifier>EISSN: 1366-5901</identifier><identifier>DOI: 10.1080/014311600750019895</identifier><identifier>CODEN: IJSEDK</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis Group</publisher><subject>Applied geophysics ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Internal geophysics ; Tectonics. Structural geology. Plate tectonics</subject><ispartof>International journal of remote sensing, 2000, Vol.21 (17), p.3281-3292</ispartof><rights>Copyright Taylor & Francis Group, LLC 2000</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a465t-a4dc1fc34a61e7695e7a52f6460fb23af0cee34dccacd5992460761eaa7e7eed3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=823016$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Tripathi, N. K.</creatorcontrib><creatorcontrib>Gokhale, K. V. G. K.</creatorcontrib><creatorcontrib>Siddiqui, M. U.</creatorcontrib><title>Directional morphological image transforms for lineament extraction from remotely sensed images</title><title>International journal of remote sensing</title><description>Morphological image transforms find their basis in the notions of mathematical morphology. An attempt is made to develop morphological transforms for enhancement of directional edges and lineaments from satellite imagery. Geostructural features are generally oriented in preferred directions. This information has been utilized in designing structuring elements for morphological transforms. Several shapes and sizes of structuring elements have been designed and applied to delineate lineaments in different litho-environments of the same study area. Top hat transform has been applied using the directional structuring elements for edge image at 0
o
, 30
o
, 60
o
, 90
o
, 120
o
and 150
o
. Geological lineaments such as faults could be easily identified on an edge image obtained using top hat transformation followed by an image superimposition technique. The lineament map was developed using directionally enhanced edge images and the results have been verified.</description><subject>Applied geophysics</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Internal geophysics</subject><subject>Tectonics. Structural geology. Plate tectonics</subject><issn>0143-1161</issn><issn>1366-5901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNqFkE1PxCAQhonRxHX1D3gi8VwdSoH24MGsn4mJFz03SIcV05YNkLj772WtetlEL0PIPA_DvIScMjhnUMMFsIozJgGUAGBN3Yg9MmNcykI0wPbJbAsUmWCH5CjGdwCQSqgZaa9dQJOcH3VPBx9Wb773S2fyzQ16iTQFPUbrwxBprrR3I-oBx0RxnVtfJrXBDzTg4BP2GxpxjNhNejwmB1b3EU--zzl5ub15XtwXj093D4urx0JXUqRcO8Os4ZWWDJVsBCotSisrCfa15NqCQeQZMtp0omnK3FAZ1VqhQuz4nJTTuyb4GAPadhXyD8KmZdBuI2p3I8rS2SStdMwb27yqcfHXrEsOTGbqcqLcuM1Bf_jQd23Sm96HH4X_OaX-19_V2rRO_BONLo6G</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Tripathi, N. K.</creator><creator>Gokhale, K. V. G. K.</creator><creator>Siddiqui, M. U.</creator><general>Taylor & Francis Group</general><general>Taylor and Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2000</creationdate><title>Directional morphological image transforms for lineament extraction from remotely sensed images</title><author>Tripathi, N. K. ; Gokhale, K. V. G. K. ; Siddiqui, M. U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a465t-a4dc1fc34a61e7695e7a52f6460fb23af0cee34dccacd5992460761eaa7e7eed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Applied geophysics</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Internal geophysics</topic><topic>Tectonics. Structural geology. Plate tectonics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tripathi, N. K.</creatorcontrib><creatorcontrib>Gokhale, K. V. G. K.</creatorcontrib><creatorcontrib>Siddiqui, M. U.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>International journal of remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tripathi, N. K.</au><au>Gokhale, K. V. G. K.</au><au>Siddiqui, M. U.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Directional morphological image transforms for lineament extraction from remotely sensed images</atitle><jtitle>International journal of remote sensing</jtitle><date>2000</date><risdate>2000</risdate><volume>21</volume><issue>17</issue><spage>3281</spage><epage>3292</epage><pages>3281-3292</pages><issn>0143-1161</issn><eissn>1366-5901</eissn><coden>IJSEDK</coden><abstract>Morphological image transforms find their basis in the notions of mathematical morphology. An attempt is made to develop morphological transforms for enhancement of directional edges and lineaments from satellite imagery. Geostructural features are generally oriented in preferred directions. This information has been utilized in designing structuring elements for morphological transforms. Several shapes and sizes of structuring elements have been designed and applied to delineate lineaments in different litho-environments of the same study area. Top hat transform has been applied using the directional structuring elements for edge image at 0
o
, 30
o
, 60
o
, 90
o
, 120
o
and 150
o
. Geological lineaments such as faults could be easily identified on an edge image obtained using top hat transformation followed by an image superimposition technique. The lineament map was developed using directionally enhanced edge images and the results have been verified.</abstract><cop>Abingdon</cop><pub>Taylor & Francis Group</pub><doi>10.1080/014311600750019895</doi><tpages>12</tpages></addata></record> |
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subjects | Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology Internal geophysics Tectonics. Structural geology. Plate tectonics |
title | Directional morphological image transforms for lineament extraction from remotely sensed images |
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