Densely multiscale framework for segmentation of high resolution remote sensing imagery

Inuwa Mamuda Bello; Ke Zhang; Yu Su; Jingyu Wang; Muhammad Azeem Aslam

doi:10.1016/j.cageo.2022.105196

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Densely multiscale framework for segmentation of high resolution remote sensing imagery

Inuwa Mamuda Bello Ke Zhang Yu Su Jingyu Wang Muhammad Azeem Aslam

Year: 2022 Journal: Computers & Geosciences Vol: 167 Pages: 105196-105196 Publisher: Elsevier BV

DOI: 10.1016/j.cageo.2022.105196

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Keywords:

Computer science Segmentation Artificial intelligence Feature (linguistics) Remote sensing Representation (politics) Embedding Image segmentation Data mining Computer vision Pattern recognition (psychology) Geology

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Densely multiscale framework for segmentation of high resolution remote sensing imagery

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