Computationally Efficient Algorithms for Settlement Mapping Using Very High-resolution Satellite Imagery
نویسنده
چکیده
There is a great need for identifying and characterizing human settlements at global scale. Though very high-resolution (VHR) imagery has proven to be highly useful in identifying human settlements, the algorithms and computational approaches have proven to be inadequate and very slow. Existing per-pixel based classification approaches are shown to be inadequate for characterizing urban neighborhoods in VHR imagery. In this paper, we present a computationally efficient and parallel approach for mapping human settlements using VHR imagery.
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