Object detectionImage denoisingSmall targetsMulti-scale detectionGiven the challenges posed by noise and varying target scales in SAR images, conventional convolutional neural networks often underperform in SAR
Large selective kernel network for remote sensing object detection. IEEE International Conference on Computer Vision, 2023, pp. 16 794– 16 805. [11]: Yuning Cui, Yi Tao, Wenqi Ren, and Alois Knoll. Dual-domain attention for image deblurring. AAAI Conference on Artificial Intelligence, B. ...
classObjectDetection:def__init__(self):self.centernet=CenterNet()defpredict_image(self,image_path,...
数据集分为positive image set、negative image set、ground truth三个文件 positive image set目录下为正例图像,negative image set目录下为反例图像 正例、反例图像皆从001开始命名,所有图像为jpg格式。 4.2.4样本标注信息 NWPU VHR-10采用HBB的标注方法。ground truth文件夹包含650个单独的txt文件,每个文件对应于po...
(Lin等,2014)等自然图像数据集设定的,而这些设置未必适合SAR舰船数据; 2)数据量相对较小的检测数据集往往不足以从头训练规模较大的检测模型,通常做法是在检测模型初始化时,将特征提取部分直接载入大型自然图像分类数据集(如ImageNet等)预训练好的模型参数,然后使用检测数据集进行微调; 3)分类任务与检测任务、自然...
aspectareselected.FeatureMatchingcriterionbasedonsigularityvaluesoftargetcontourandtargetsignalisgiventoidentifytarget.Experimentalresultsshowthatthismethodcarlachievehighrecognffionprobability.Keywords:SAR,Featuredetect,Muliscaleedgefusion,SARimagefiltering,SARimagesegmentation,Targetaspectsyntheticalestimate,Objectrecognition...
FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image 2025, Science of Remote Sensing Show abstract Efficient End-to-End Diffusion Model for One-Step SAR-to-Optical Translation 2025, IEEE Geoscience and Remote Sensing Letters Research Progress of Deep Learning Technology for...
此外,许多研究使用ImageNet预训练的主干网络作为检测框架的初始化,忽视了预训练的自然场景数据集与微调后的SAR数据集之间的显著领域差异,以及主干网络与整个检测框架之间的模型差异。 总结来说就是: 开源代码稀少,导致上手成本高 数据集零碎且单一,缺少大规模、多样化的数据集 传统预训练方式忽略了SAR图像与通用可见光...
AIR-SARShip-1.0: High-resolution SAR Ship Detection Dataset 高分辨率SAR舰船检测数据集-2.0(AIR-SARShip-2.0)发布300幅图像,图像分辨率包括1m和3m,成像模式包括聚束式和条带式,极化方式为单极化,极化方式为VV,场景类型包含港口、岛礁、不同等级海况的海面,目标覆盖运输船、油船、渔船等十余类数千艘舰船。
[5]Srinivas U,Monga V,Raj R G.SAR automatic target recognition using discriminative graphical models[C]// IEEE International Conference on Image Processing,2011. [6]宋婷,賀丰收,程宇峰.深度学习技术在雷达目标检测中的研究进展[J].航空科学技术, 2020, 31(10):12-20. Song Ting, He Fengshou, Chen...