SPSNet: A Selected Pyramidal Shape-Constrained Network for SAR Target Detection
The complex background and coherent speckle noise in synthetic aperture radar (SAR) images presents a significant challenge for the detection and recognition of SAR small targets. For deep neural networks, the robust feature learning method and effective loss function could enhance the accuracy of S...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10592767/ |