Remote Sensing Dataset on Object Detection 遥感目标检测数据集 1. DOTA (HBB+OBB) Homepage: https://captain-whu.github.io/DOTA/index.html Download: https://captain-whu.github.io/DOTA/dataset.html Paper: https://ieeexplore.ieee.org/abstract/document/9560031 https://openaccess.thecvf.com/conte...
We also propose a large-scale, publicly available benchmark Remote Sensing Super-resolution Object Detection (RSSOD) dataset. The RSSOD dataset consists of 1,759 hand-annotated images with 22,091 instances of very high-resolution (VHR) images with a spatial resolution of0.05m. There are five ...
PythonAPI python setup.py build_ext install # install RRPN git clone https://github.com/clw5180/remote_sensing_object_detection_2019.git cd RRPN_pytorch # the following will install the lib with# symbolic links, so that you can modify # the files if you want and won't need to # re-...
Finally, this article also integrates a global attention module (GAM) to find attention areas in dense object scenes. Ablation experiments on the general remote sensing target detection dataset VisDrone2021 demonstratethe effectiveness of several modules introduced in this paper in remote sensing target ...
NWPU VHR-10 dataset, is a publicly available 10-class geospatial object detection dataset, and contains totally 800 very-high-resolution (VHR) remote sensing images that were cropped from Google Earth and Vaihingen dataset. NWPU-RESISC45 Dataset, is a publicly available benchmark for REmote Sens...
2024-04-02 LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network LR-FPN:利用位置细化特征金字塔网络增强遥感目标检测 Hanqian Li, Ruinan Zhang, Ye Pan, Junchi Ren, Fei Shen arxiv.org/pdf/2404.0161 null 2024-04-02 Language Model Guided Interpretable Video ...
Computational intelligence techniques have been used in remote sensingimage classification[12,21–26] and change detection [13,27–33], due to their robustness to the complexity ofremote sensing data. Sign in to download hi-res image Fig. 1.Analysis of the self-learning capability....
The ambiguous appearance, tiny scale, and fine-grained classes of objects in remote sensing imagery inevitably lead to the noisy annotations in category labels of detection dataset. However, the effects and treatments of the label noises are underexplored in modern oriented remote sensing object detect...
Remote Sensing Unlabeled Dataset (RSUL) A Large Remote Sensing Unlabeled Dataset for Semi-Supervised Oriented Object Detection [Paper Link] You can find this dataset inhuggingface.co Other Download Links If you have trouble in huggingface, the[BaiduDrive Link]is also avail. ...
DOTA dataset based on optical sensors Data play an important role in the task of supervised learning. We aim to propose a better and faster object detection Conclusion Remote sensing target detection provides very favorable support in solving problems such as traffic congestion, urban development pla...