SAT-6 airborne datasets, consists of a total of 405,000 image patches each of size 28x28 and covering 6 landcover classes. 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...
图2:SEN12MS数据集不同格式中的类别分布情况。 (a) 训练集划分,(b) 测试集划分。注意,在稠密和多标签测试集中,荒地样本的数量实际上不为零,但相对于其他类别非常少。 表3:Validation of the Scene Labels with Respect to HumanAnnotation(基于人工注释验证场景标签的结果,原文中并未提及此表作何用途) 3. 基...
Lin, D., Xu, G., Wang, X., Wang, Y., Sun, X., Fu, K.: A remote sensing image dataset for cloud removal. arXiv preprint arXiv:1901.00600 (2019) Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Computer Vision–...
A Remote Sensing Image Dataset for Cloud Removal.Daoyu LinGuangluan XuXiaoke WangYang WangXian SunKun FuComputer Vision and Pattern Recognition
There are six classes in the dataset (impervious surface, building, low vegetation, tree, car, background). The images are cropped to 400*400 pixels, and 6750 patches for training and 1800 patches for testing are acquired. The CCF BDCI 2020 remote sensing image dataset (abbreviated as BDCI ...
Dataset description In our experiments, three public remote-sensing datasets were used: the University of California Merced Land Use Dataset (hereafter “UCM”), the Aerial Image Dataset (hereafter “AID”), and the Northwestern Polytechnical University NWPU-RESISC45 Dataset (hereafter “NWPU”). The...
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...
dataset to compare the performance of VDNET-RSI with that of the state-of-the-art models in vehicle detection based on satellite remote sensing images... H Zhu,Y Lv,J Meng,... - 《Remote Sensing》 被引量: 0发表: 2023年 The Research of Multi-scale Effect on Remote Sensing Image Objec...
(6)Brazilian Coffee Scene Dataset 2类,coffee class and non-coffee class,每类1438,64*64,SPOT satellite images,R、G, and near-infrared bands,区分植被区域,不适用于多类别的场景分类。 四、遥感影像场景分类方法调查 (1)Handcrafted Feature Based Methods ...
The performance of the proposed method in terms of feature representation and image description was evaluated for describing P. euphratica and T. ramosissima using UAV remote sensing images obtained over southern Luntai County, Xinjiang Uygur Autonomous Region as the experimental dataset along with high...