Tracking Water Courses in Satellite Images
نویسندگان
چکیده
We present an approach for tracking water courses in satellite images, a general strategy for tracking and recognising features in computer vision tasks on satellite images. Our approach is related to recent work in automatic image interpretation and urban scene analysis. We report a method for image recognition from multi-spectral SPOT satellite imagery, based on the different response of water to SPOT sensors. By this mean, we decide what regions are probably containing water. The problem of segmentation is solved by the “maximum entropy criterion” method, followed by a recognition task based on morphological properties of water courses. Some additional image processing techniques are required before obtaining the final water course mask. Key-Words: computer vision, scene analysis, image segmentation, SPOT satellite images
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