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...
each image is first decomposed by a bank of multiscale-oriented Gabor filters (set to 8 orientations and 4 different scales as the original work .The result of each filter is then averaged over 16 non-overlapping regions arranged on a 4×4 grid. The resulting image representation is a 512...
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...
remote_sensing_image_classification/ # 根目录 ▾ data/ label_list.txt # label train.txt # 训练集路径及标注 valid.txt # 验证集路径及标注 ▾ dataset/ __init__.py create_img_list.py # 随机8:2划分数据集,生成 ./data/ 文件夹下的txt文件 dataset.py # 数据读取 ▾ figs/ acc.eps # ...
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 ...
In recent years, the remote sensing image (RSI) semantic segmentation attracts increasing research interest due to its wide application. RSIs are difficult to be processed holistically on current GPU cards on account of their large field-of-views (FOVs).
Remote Sensing- Special Issue Special Issue "Methods and Applications in Land Cover Mapping for Environmental Monitoring Using Multi-Source Datasets and Cloud Computing" Deadline A special issue ofRemote Sensing(ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing...
Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models - IBM/remote-sensing-image-retrieval
• 与其前身SEN1-2数据集不同,SEN12MS包含的所有图像都是geotiff格式,即它们包括地理定位信息。一方面,这些信息可以用作附加的输入特征(参见Uber的CoordConv解决方案(Liu et al.,2018))。另一方面,它可以用于将SEN12MS数据与外部地理数据配对。 • 通过为每个补丁提供密集的(尽管粗略的)土地覆盖标签,意图将语义分...
[NIPS2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation 近期在做一些遥感分割数据集调研,学习一下数据集文章的写作思路,在此做一些记录。 Introduction 随着社会和经济的不断发展,人类的生活环境逐渐分化,可分为城市区和农村区[8]。高空间分辨率(HSR)遥感技术可以帮助...