OBJECT-LEVEL CHANGE DETECTION BASED ON HIGH-RESOLUTION REMOTE-SENSING IMAGES AND ITS APPLICATION IN JAPANESE EARTHQUAKE ON MARCH 11, 2011
In accordance with the characteristics of change detection based on high-resolution remote-sensing images, this paper has put forward an object-level change detection method that is based on multi-feature integration and can take into account the properties of different types of object. This method...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-7/249/2012/isprsannals-I-7-249-2012.pdf |
| Summary: | In accordance with the characteristics of change detection based on high-resolution remote-sensing images, this paper has put
forward an object-level change detection method that is based on multi-feature integration and can take into account the properties
of different types of object. This method classifies the most essential change information in applications into artificial objects related
change information, water-related change information and vegetation-related change information. Direct association of object types
and radiation, texture and geometric features is established by analyzing the characteristics of the three types of objects. During the
application of object-level change detection method, first, feature vectors of objects are constructed by controlling the weight of
radiation, texture and geometric features in different ways; then feature vectors of objects in multi-temporal images are analyzed
with the method of object change vector analysis to obtain the change information of object types that are sensitive to a certain
feature. In order to verify the validity of this method, this paper uses the high-resolution remote-sensing images from the Internet
captured before and after the Japanese earthquake on March 11, 2011 to conduct some change detection experiments based on multifeature
integration. Damage information is extracted and by controlling the weight of features, building damage, damage caused by
submergence of seawater and vegetation damage are detected respectively. Experiments show that the method and processing put
forward in this paper, flexible, practical and adaptable, are effective in such applications as the extraction of information about
damage caused by earthquake and tsunami, and investigation of land use change. |
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| ISSN: | 2194-9042 2194-9050 |