The major difficulty in monitoring lake areas based on low or moderate resolution Remote Sensing (RS) data is how to improve the accuracy and applicability of unmixing of mixed pixels, considering both the complexity of objects and limitations of time and space. To solve the problem, this paper proposes an efficient model uniting double-edge extraction with unmixing of mixed pixels, the accuracy and applicability of which is attested by computing lake areas of northwestern China using AVHRR images.
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