Fusion of monocular cues to detect man-made structures in aerial imagery
CVGIP: Image Understanding
Performance Evaluation and Analysis of Monocular Building Extraction From Aerial Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Building Reconstruction from Optical and Range Images
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
International Journal of Remote Sensing - Satellite Observations Related to Sumatra Tsunami and Earthquake of 26 December 2004
Image segmentation by histogram thresholding using fuzzy sets
IEEE Transactions on Image Processing
Textural analysis of coca plantations using remotely sensed data with resolution of 1 metre
International Journal of Remote Sensing
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This paper discusses a general methodology for post-tsunami damage assessment and an automatic procedure able to distinguish between different kinds of damage on built-up structures using very-high-resolution satellite data. The procedure for automatic detection of damaged built-up structures was designed using a multi-criteria approach fusing radiometric, textural, and morphological image features related to pre-and post-disaster data detection. The proposed procedure shows good performance with an estimated overall accuracy equal to 93.97%. The best performances are estimated in the discrimination between non-flooded and flooded built-up structures and in the recognition of collapsed built-up structures with debris in place. Problems of omission error were detected in the recognition of collapsed built-up structures without debris in place as in the case of completed erased built-up structures situated close to the shoreline.