3. LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation Page:https://github.com/Junjue-Wang/LoveDA Download:https://zenodo.org/records/5706578 Paper:https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round...
Semantic segmentation models with good performance are crucial for the practical application of high-resolution remote-sensing images (RSI). Compared with nature images, in most cases the RSI dataset has the problem of unbalanced sample distribution between classes and unbalanced target size ratio. ...
\1.标题:Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method \2.作者:Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao \3.作者单位:Central South University \4.发表期刊/会议:arXiv \5....
论文阅读: Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method 作者声明 基本信息 **\1.标题:**Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Met...
Deeplab v3-plus for semantic segmentation of remote sensing(pytorch) 数据集: 在ISPRS Vaihigen 2D语义标签比赛数据集上评估了deeplab v3+的表现。该数据集由33张大小不同的高分辨率遥感影像组成,每张影像都是从德国Vaihigen市高空中获取的真正射影象(TOP)。在某种程度上,这个数据集的遥感印象与普通的自然影像没...
A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation * Authors: [[Renxiang Zuo]], [[Guangyun Zhang]], [[Rong
[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...
Remote sensing semantic segmentation is considered a key step in the intelligent interpretation of high-resolution remote sensing (HRRS) images, with widespread applications in fields such as hazard assessment, environmental monitoring, and urban planning. Recently, numerous deep learning-based semantic seg...
Semantic segmentation for high-resolution remote sensing images is one of the most significant tasks in the field of remote sensing applications. Remote sensing images contain substantial detailed information of ground objects, such as shape, location, and texture. Therefore, these objects make the ima...
Semantic-segmentation-of-remote-sensing-image 基于深度学习关于遥感影像的语义分割 首先看一下数据集,包含原始影像与标签,实际的分辨率很大,这个只是缩略图。 影像数据是Landsat8卫星的,用五四三波段进行合成,并利用GS方法进行全色第八波段的融合。(Envi软件处理) 标签是通过矢量图层以ArcGIS软件来处理生成的。 此代码...