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Due to the complexity of airport background, the traditional method of aircraft target detection usually brings a lot of false alarms or missed detection.
Abstract—Due to the complexity of airport background, the traditional method of aircraft target detection usually brings a.
This paper uses the full convolution network to extract spatial features, which are combined with spectral features, and the active learning method is used ...
In this work, we assess the detection and classification of specially constructed targets in coincident airborne hyperspectral imagery (HSI) and high ...
Jul 31, 2023 · Experimental results show that the proposed target detection method based on space-spectrum combination could suppress the false alarm targets ...
Synthetic Aperture Radar (SAR) image target detection is of great significance in civil surveillance and military reconnaissance.
Region-based airplane detection in remotely sensed imagery
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This paper studies on airplane target detection in remotely sensed imagery. The procedure of airplane detection consists of two steps.
May 5, 2019 · Firstly, based on the common low-level visual features of natural images and airport remote sensing images, region-based convolutional neural ...
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The experimental results demonstrate that the proposed method is accurate and robust for multi-scale aircraft detection, and achieves 94.8% AP(average precision) ...
Deep Learning-based Marine Target Detection Method with Multiple Feature Fusion. WANG Xiang, WANG Yumiao, CHEN Xingyu, ZANG Chuanfei, CUI Guolong. 2024, 13(3): ...