Remote assessment of flooded areas based on inter-spectral statistical features


The paper presents an efficient method for image segmentation based on inter-spectral information. Two classes of regions were considered: flooded and non-flooded. The images were captured by unmanned aerial vehicles (UAV), fix-winged type. Using features extracted from benchmark samples of each texture, flooded areas are automatically recognized from input… (More)
DOI: 10.1109/TSP.2016.7760976

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