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The paper proposes a method of collapsed buildings extraction from post-earthquake airborne images. Firstly, training and validation samples are selected, and feature extraction is conducted through morphological profiles and texture statistics based on gray-level co-occurrence matrix, and then support vector machine classifier is used to extract collapsed buildings. An initial experiment is carried...
In this paper we propose PHOTO (pyramid histogram of topics), a new representation for image classification. We partition the image into hierarchical cells and learn the topic histogram using pLSA over each cell with EM algorithm. Then we concatenate the topic histograms over the cells at all levels to form a ldquolongrdquo vector, i.e. pyramid histogram of topics. Finally AdaBoost classifiers are...
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