A Novel Object Detection Approach for Satellite Imagery Based on Danger Theory
ICINIS '08 Proceedings of the 2008 First International Conference on Intelligent Networks and Intelligent Systems
Digital Image Processing Using MATLAB: AND " Mathworks, MATLAB Sim SV 07 "
Digital Image Processing Using MATLAB: AND " Mathworks, MATLAB Sim SV 07 "
Automatic object detection on aerial images using local descriptors and image synthesis
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Optimal edge-based shape detection
IEEE Transactions on Image Processing
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This paper presents a novel approach of detecting special objects from high resolution satellite imagery. In this approach, a bilateral filtering is used to denoise firstly, and a new morphological approach which combines gray scale morphological processing and binary morphological processing is proposed for ROI extraction and feature enhancement. A detection operator based on the boundary shape information (BSI) is developed to detect enhanced objects. The experiments on images from Google Earth are discussed in the paper. The experimental results show that proposed approach is effective and feasible. Compared with other object detection approaches from high resolution satellite imagery such as PCA or MSNN, the proposed approach has better detection performance.