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A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multi-sensors
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Water body extraction from remote sensing images is an important task. Deep learning has become a more popular method for extracting water bodies from remote sensing images. However, these methods are usually aimed at a specific sensor and are not applicable. Thus, we proposed a new network, called the dense-local-feature-compression (DLFC) network aiming at extracting water body from different remote sensing images automatic. In this network, each layer of the network can receive the feature
doi:10.1109/jstars.2021.3060769
fatcat:bpl746mtejbataudaxbjmkvznm