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Large-area settlement pattern recognition from Landsat-8 data

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...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1016/j.isprsjprs.2016.06.010

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Department:
Oxford, MPLS, Zoology
Pittore, M More by this author
Earthquake Model Central Asia More from this funder
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:
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

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