Target detection technology of synthetic aperture radar(SAR)imageis widely used in the field of military reconnaissance and surveillance.The traditional SAR image target detection methods need to be provided a lot of empirical knowledge because the characteristics of SAR images in different configurations...
However, SAR ship detection faces challenges such as indistinct ship contours, low resolution, multi-scale features, noise, and complex background interference. This paper proposes a lightweight YOLOv8 model for small object detection in SAR ship images, incorporating key structures to enhance ...
Object detection The goal is to predict the type or class of an object in an image. Input: an image with a single object Output: a class label (cat, dog, etc.) Example output: class probability (for example, 84% cat) The goal is to predict the location of objects in an image ...
2019[103]An anchor-free method based on feature balancing and refinement network for multiscale ship detection in sar images[104]Feature selective small object detection via knowledge-based recurrent attentive neural network[105]Attention and feature fusion ssd for remote sensing object detection[106...
<p id="abspara0010" view="all"> Object detection models based on convolutional neural networks (CNN) have achieved state-of-the-art performance by heavily rely on large-scale training samples. They are insufficient when used in specific applications, suc
TCSVT2023 MSCAF-Net MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features Yu Liu; Haihang Li; Juan Cheng; Xun Chen Paper|Code TCSVT2023 SARNet Go Closer To See Better: Camouflaged Object Detection via Object Area Amplification and Figure...
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images [Paper] Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang TGRS 2021 Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery [Paper] Yan Zhao, Lingjun Zhao, Zhong...
This leads to the detection results s... H Wei,X Yu,L Shan - Mippr: Remote Sensing Image Processing, Geographic Information Systems, & Other Applications 被引量: 5发表: 2011年 Bridge Detection and Recognition in Remote Sensing SAR Images Using Pulse Coupled Neural Networks A novel double-...
Recent advances in deep learning significantly boost the performance of salient object detection (SOD) at the expense of labeling larger-scale per-pixel annotations. To relieve the burden of labor-intensive labeling, deep unsupervised SOD methods have been proposed to exploit noisy labels generated by...
[NeurIPS 2024 spotlight] Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection - zcablii/SARDet_100K