Section 3 introduces a novel SAR ATR method based on the ESENet, and discusses the mechanism of the enhanced-SE module, together with the structure of the ...
Jun 18, 2024 · In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms that are based on the convolutional neural ...
A new enhanced squeeze and excitation (enhanced-SE) module is designed to solve the problem of feature maps with little information automatically learned by ...
Abstract: In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms that are based on the convolutional neural network ...
SAR ATR of Ground Vehicles Based on LM-BN-CNN | Semantic ...
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LM-BN-CNN obtains better performance than the available CNNs designed for SAR ATR of ground vehicles, and it has robustness to large depression angle ...
In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms that are based on the convolutional neural network (CNN) ...
In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms based on convolutional neural network (CNN) have achieved ...
In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms that are based on the... 更多. 收藏. 全部 ...
SAR ATR of Ground Vehicles Based on ESENet. Remote Sens. 2019, 11, 1316 ... SAR ATR of Ground Vehicles Based on ESENet. Remote Sensing. 2019; 11(11): ...
This dataset contains ten categories of ground military targets: infantry vehicle (BMP2), patrol car (BRDM2), ... Zhou, “SAR ATR of ground vehicles based on.