2,494 research outputs found
Statistical Difference Models for Change Detection in Multispectral Images
No full textThis chapter aims to present a general mathematical framework for the representation and analysis of multispectral images. It introduces two statistical models for the description of the distribution of spectral difference-vectors, and provides from them change detection methods based on image difference. The chapter presents an overview of the change detection problem in multispectral imagery and the methods proposed in the literature to address it, with emphasis on the statistical models associated with the difference image and their challenges. It also introduces the standard two-class unchange/change model for binary change detection, as derived from the hypothesis of the Gaussian distribution of natural classes in the difference image. Experiments on different image pairs from different sensors confirmed that the improved fitting of the magnitude histogram corresponds to nearly optimal change detection accuracy
A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images
No full textA Novel Theoretical Framework for Unsupervised Change Detection Based on CVA in Polar Domain
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An Adaptive Multiscale Random Field Technique for Unsupervised Change Detection in VHR Multitemporal Images
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An Adaptive Technique Based on Similarity Measures for Change Detection in Very High Resolution SAR Images
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