globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2017.09.006
Scopus记录号: 2-s2.0-85032216565
论文题名:
Investigation on the separability of slums by multi-aspect TerraSAR-X dual-co-polarized high resolution spotlight images based on the multi-scale evaluation of local distributions
作者: Schmitt A; , Sieg T; , Wurm M; , Taubenböck H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64
起始页码: 181
结束页码: 198
语种: 英语
英文关键词: Image analysis ; Image classification ; Image fusion ; Image texture analysis ; Pattern recognition ; Radar applications ; Radar polarimetry ; Radar remote sensing ; Urban areas
Scopus关键词: image analysis ; image resolution ; observational method ; pattern recognition ; remote sensing ; satellite data ; synthetic aperture radar ; urban area ; Cape Town ; India ; Maharashtra ; Manila ; Mumbai ; National Capital Region ; Philippines ; South Africa ; Western Cape
英文摘要: Following recent advances in distinguishing settlements vs. non-settlement areas from latest SAR data, the question arises whether a further automatic intra-urban delineation and characterization of different structural types is possible. This paper studies the appearance of the structural type “slums” in high resolution SAR images. Geocoded Kennaugh elements are used as backscatter information and Schmittlet indices as descriptor of local texture. Three cities with a significant share of slums (Cape Town, Manila, Mumbai) are chosen as test sites. These are imaged by TerraSAR-X in the dual-co-polarized high resolution spotlight mode in any available aspect angle. Representative distributions are estimated and fused by a robust approach. Our observations identify a high similarity of slums throughout all three test sites. The derived similarity maps are validated with reference data sets from visual interpretation and ground truth. The final validation strategy is based on completeness and correctness versus other classes in relation to the similarity. High accuracies (up to 87%) in identifying morphologic slums are reached for Cape Town. For Manila (up to 60%) and Mumbai (up to 54%), the distinction is more difficult due to their complex structural configuration. Concluding, high resolution SAR data can be suitable to automatically trace potential locations of slums. Polarimetric information and the incidence angle seem to have a negligible impact on the results whereas the intensity patterns and the passing direction of the satellite are playing a key role. Hence, the combination of intensity images (brightness) acquired from ascending and descending orbits together with Schmittlet indices (spatial pattern) promises best results. The transfer from the automatically recognized physical similarity to the semantic interpretation remains challenging. © 2017 Elsevier B.V.
Citation statistics:
被引频次[WOS]:15   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79905
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Geoinformatics, Munich University of Applied Sciences, Karlstraße 6, Munich, Germany; Earth Observation Center (EOC), German Aerospace Center(DLR), Oberpfaffenhofen, Weßling, Germany

Recommended Citation:
Schmitt A,, Sieg T,, Wurm M,et al. Investigation on the separability of slums by multi-aspect TerraSAR-X dual-co-polarized high resolution spotlight images based on the multi-scale evaluation of local distributions[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Schmitt A]'s Articles
[, Sieg T]'s Articles
[, Wurm M]'s Articles
百度学术
Similar articles in Baidu Scholar
[Schmitt A]'s Articles
[, Sieg T]'s Articles
[, Wurm M]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Schmitt A]‘s Articles
[, Sieg T]‘s Articles
[, Wurm M]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.