- Abstract:
-
The study presents an image processing and analysis pipeline that combines object-based image analysis with a Support Vector Machine to derive a multi-layered settlement product from Landsat-8 data over large areas. 43 image scenes are processed over large parts of Central Asia (Southern Kazakhstan, Kyrgyzstan, Tajikistan and Eastern Uzbekistan). The main tasks tackled by this work include built-up area identification, settlement type classification and urban structure types pattern recogniti...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 6.8mb)
-
- Publisher copy:
- 10.1016/j.isprsjprs.2016.06.010
-
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- Publisher:
- Elsevier Publisher's website
- Journal:
- ISPRS Journal of Photogrammetry and Remote Sensing Journal website
- Volume:
- 119
- Pages:
- 294–308
- Publication date:
- 2016
- Acceptance date:
- 2016-06-14
- DOI:
- EISSN:
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1872-8235
- ISSN:
-
0924-2716
- Pubs id:
-
pubs:651207
- URN:
-
uri:7c7d0199-6930-4cc9-9328-4334bb1209df
- UUID:
-
uuid:7c7d0199-6930-4cc9-9328-4334bb1209df
- Local pid:
- pubs:651207
- Copyright holder:
- International Society for Photogrammetry and Remote Sensing, Inc.
- Copyright date:
- 2016
- Notes:
-
Copyright © 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier
B.V. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.isprsjprs.2016.06.010
Journal article
Large-area settlement pattern recognition from Landsat-8 data
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Earthquake Model Central Asia
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