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Object proposal approach, where potential objects are extracted first, has been developed to improve the target searching efficiency. In this paper, we investigate two newly developed algorithms, namely Selective Search and EdgeBoxes, for object proposal extraction and evaluate their performance with very high resolution (VHR) remote sensing images. These object proposal extraction methods play a...
In this letter, the supervised classification algorithm support vector machines is extended to map both pure pixels and mixed pixels using hyperspectral data. The margins between the hyperplanes formed by the pixels on the class boundaries are recognized as mixed region, and the space beyond this region is related to pure pixels. In this way, each endmember is modeled by a set of training samples...
As a greater amount of remotely sensed data becomes available, many of the applications will require the interpretation of images collected over a regular period (perhaps every day or every week) in order to identify changes associated with applications such as land-cover mapping, and environmental modelling and monitoring. Since these applications will require the transmission of significant numbers...
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