Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images
Hyperion hyperspectral data contains a very rich source of information from the Earth surface that collects 242 narrow contiguous spectral bands. Achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. Satellite image proces...
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| Format: | Article |
| Language: | fas |
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Ferdowsi University of Mashhad
2012-10-01
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| Series: | Journal of Economic Geology |
| Subjects: | |
| Online Access: | http://econg.um.ac.ir/index.php/econg/article/view/16490 |
| _version_ | 1818833787693301760 |
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| author | Bahram Bahrambeygi Hojatollah Ranjbar Jamshid Shahabpour |
| author_facet | Bahram Bahrambeygi Hojatollah Ranjbar Jamshid Shahabpour |
| author_sort | Bahram Bahrambeygi |
| collection | DOAJ |
| description | Hyperion hyperspectral data contains a very rich source of information from the Earth surface that collects 242 narrow contiguous spectral bands. Achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. Satellite image processing methods can be classified into two categories of statistical-based and spectral-based. In the statistical-based methods, processing principle is based on the distribution pattern of pixels’ DN values around mean, mode and median in DN value histogram of each band. However, in the spectral-based methods, the analysis is performed based on the spectral properties of the materials under question. In this study, we investigated both image processing methods and validated the results with field and laboratory data. Field and laboratory studies included the investigation of field samples, laboratory spectroradiometry, XRD analysis and thin section studies of the rock samples. SAM and PCA image processing methods performed on Hyperion images of the argillic zone in Masahim volcanic crater as spectral and statistical-based methods, respectively. The MTMF method also was surveyed as a composite method in addition to the use of reference spectrum using statistical principles. Confusion matrix prepared for the results of the three methods illustrated producer accuracy of 74.58% for SAM, 25.42% for PCA and 61% for MTMF results. Therefore, use of spectral-based methods on hyperspectral image processing is considered as a suitable way for ground surface remote sensing studies using hyperspectral Hyperion images. |
| first_indexed | 2024-12-19T02:24:29Z |
| format | Article |
| id | doaj.art-475e10fe42584c7f98dc971c045dcff9 |
| institution | Directory Open Access Journal |
| issn | 2008-7306 |
| language | fas |
| last_indexed | 2024-12-19T02:24:29Z |
| publishDate | 2012-10-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | Journal of Economic Geology |
| spelling | doaj.art-475e10fe42584c7f98dc971c045dcff92022-12-21T20:40:01ZfasFerdowsi University of MashhadJournal of Economic Geology2008-73062012-10-0142199215Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion imagesBahram Bahrambeygi0Hojatollah Ranjbar1Jamshid Shahabpour2Department of Geology, Shahid Bahonar University of Kerman, Kerman, Iran Faculty of Mining, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Geology, Shahid Bahonar University of Kerman, Kerman, Iran Hyperion hyperspectral data contains a very rich source of information from the Earth surface that collects 242 narrow contiguous spectral bands. Achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. Satellite image processing methods can be classified into two categories of statistical-based and spectral-based. In the statistical-based methods, processing principle is based on the distribution pattern of pixels’ DN values around mean, mode and median in DN value histogram of each band. However, in the spectral-based methods, the analysis is performed based on the spectral properties of the materials under question. In this study, we investigated both image processing methods and validated the results with field and laboratory data. Field and laboratory studies included the investigation of field samples, laboratory spectroradiometry, XRD analysis and thin section studies of the rock samples. SAM and PCA image processing methods performed on Hyperion images of the argillic zone in Masahim volcanic crater as spectral and statistical-based methods, respectively. The MTMF method also was surveyed as a composite method in addition to the use of reference spectrum using statistical principles. Confusion matrix prepared for the results of the three methods illustrated producer accuracy of 74.58% for SAM, 25.42% for PCA and 61% for MTMF results. Therefore, use of spectral-based methods on hyperspectral image processing is considered as a suitable way for ground surface remote sensing studies using hyperspectral Hyperion images.http://econg.um.ac.ir/index.php/econg/article/view/16490HyperionSAMPCAMasahim volcanoargillic zone |
| spellingShingle | Bahram Bahrambeygi Hojatollah Ranjbar Jamshid Shahabpour Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images Journal of Economic Geology Hyperion SAM PCA Masahim volcano argillic zone |
| title | Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images |
| title_full | Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images |
| title_fullStr | Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images |
| title_full_unstemmed | Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images |
| title_short | Comparison of data and spectral driven methods for kaolinite-bearing area mapping in Masahim volcano, using Hyperion images |
| title_sort | comparison of data and spectral driven methods for kaolinite bearing area mapping in masahim volcano using hyperion images |
| topic | Hyperion SAM PCA Masahim volcano argillic zone |
| url | http://econg.um.ac.ir/index.php/econg/article/view/16490 |
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