Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China

被引:4
作者
Sun, Jing [1 ]
Tuong Thuy Vu [2 ]
机构
[1] Royal Inst Technol, Geoinformat, Stockholm, Sweden
[2] Univ Nottingham, Sch Geog, OSGEO Res Lab, Malaysia Campus, Semenyih, Malaysia
关键词
Seismic zones; landslides; geomorphology; remote sensing; earthquake; AUTOMATIC DETECTION; SATELLITE IMAGES; CLASSIFICATION; EXTRACTION;
D O I
10.1080/19475705.2016.1171257
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Object-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we developed a unique approach - distributed and hierarchical OBIA approach for damage assessment. This study demonstrated a completed classification of YingXiu town, heavily devastated by the 2008 Wenchuan earthquake using Quickbrid imagery. Two distinctive areas, mountainous areas and urban, were analyzed separately. This approach does not require substantial processing power and large amounts of available memory because image of a large disaster-affected area was split in smaller pieces. Two or more computers could be used in parallel to process and analyze these sub-images based on different requirements. The approach can be applicable in other cases whereas the established set of rules can be adopted in similar study areas. More experiments will be carried out in future studies to prove its feasibility.
引用
收藏
页码:1962 / 1972
页数:11
相关论文
共 29 条
[1]   Automatic detection of geospatial objects using multiple hierarchical segmentations [J].
Akcay, H. Goekhan ;
Aksoy, Selim .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (07) :2097-2111
[2]   Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey) [J].
Aksoy, Beliz ;
Ercanoglu, Murat .
COMPUTERS & GEOSCIENCES, 2012, 38 (01) :87-98
[3]   Object based image analysis for remote sensing [J].
Blaschke, T. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) :2-16
[4]   A multi-scale segmentation/object relationship modelling methodology for landscape analysis [J].
Burnett, C ;
Blaschke, T .
ECOLOGICAL MODELLING, 2003, 168 (03) :233-249
[5]  
CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
[6]  
Definiens AG, 2009, ECOGNITION DEV 8 USE
[7]   Monitoring urban changes based on scale-space filtering and object-oriented classification [J].
Doxani, G. ;
Karantzalos, K. ;
Tsakiri-Strati, M. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2012, 15 :38-48
[8]   Impacts of the Wenchuan Earthquake on the Chaping River upstream channel change [J].
Gong, Jianhua ;
Yue, Yujuan ;
Zhu, Jun ;
Wen, Yuming ;
Li, Yi ;
Zhou, Jieping ;
Wang, Dongchuan ;
Yu, Caihong .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (12) :3907-3929
[9]  
Hussain E, 2011, PHOTOGRAMM ENG REM S, V77, P1011
[10]   Urban building damage detection from very high resolution imagery using OCSVM and spatial features [J].
Li, Peijun ;
Xu, Haiqing ;
Guo, Jiancong .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (13) :3393-3409