An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021) · cited 13× · AI/ML
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An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide
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An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide is a scholarly article[1].
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- An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide's A Case of Potential Loess Landslide — instance of is recorded as scholarly article[2].