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 for Remote Sensing. Contribute to sstary/SSRS development by creating an account on GitHub.
With the development of deep learning, Remote Sensing Image (RSI) semantic segmentation has produced significant advances. However, due to the sparse distribution of the objects and the high similarity between classes, the task of semantic segmentation in RSI is still extremely challenging. In this ...
采用Pytorch的入门语义分割项目,支持的网络有Unet和Segnet;遥感语义分割;Unet;Segnet;Remote sensing semantic segmentation; 展开 收起 暂无标签 /yunhui_zhang/Semantic-segmentation-1 README 10 Stars 2 Watching 3 Forks 保存更改 取消 发行版 暂无发行版 贡献者 (2) 全部 近期动态 3年多前...
Semantic segmentation of urban land classes using a multi-scale dataset 2024, International Journal of Remote Sensing Rethinking high-resolution remote sensing image segmentation not limited to technology: a review of segmentation methods and outlook on technical interpretability 2024, International Journal ...
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...
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation Ziyang Gong1 ∗,Zhixiang Wei2 ∗,Di Wang3 ∗, Xianzheng Ma3,Hongruixuan Chen4,Yuru Jia56,Yupeng Deng1, Zhenming Ji1 †, Xiangwei Zhu1 †, Naoto Yokoya4, Jing Zhang3, Bo Du3...
The model’s code will be available at <uri>https://github.com/W-qp/MultiSenseSeg</uri>. 展开 关键词: Semantic segmentation Feature extraction Remote sensing Data models Computational modeling Costs Semantics DOI: 10.1109/TGRS.2024.3390750 ...
17 May 2024·Mushui Liu,Jun Dan,Ziqian Lu,Yunlong Yu,Yingming Li,Xi Li·Edit social preview Due to the large-scale image size and object variations, current CNN-based and Transformer-based approaches for remote sensing image semantic segmentation are suboptimal for capturing the long-range depende...
Paper tables with annotated results for Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks