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...
First, this study compares the performance of seven mainstream remote sensing instance segmentation models using the proposed CUG_MISDataset. The results show that all seven models achieve high segmentation accuracy. It indicates that the constructed CUG_MISDataset is robust and can ...
Early detection of weeds using remote sensing often relies on segmentation of imagery to separate weeds from bare soil or from growing crops. Segmentation of weeds from crops has proven to be viable using high-resolution remote sensing imagery (Onyango and Marchant, 2003). Segmentation seeks to ...
[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...
In order to address the challenges associated with poor semantic segmentation results of classical semantic segmentation networks in high-resolution remote sensing images, limited performance in complex scenes, a large number of network parameters, and high training costs, this study proposes an efficient...
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...
UAVid: A semantic segmentation dataset for UAV imagery ISPRS Journal of Photogrammetry and Remote Sensing(IF10.6)Pub Date : 2020-05-30, DOI:10.1016/j.isprsjprs.2020.05.009 Ye Lyu , George Vosselman , Gui-Song Xia , Alper Yilmaz , Michael Ying Yang ...
A multimodal (i.e., Sentinel-2, Sentinel-1, and SRTM) remote sensing dataset in Hunan, China. - LauraChow/HunanMultimodalDataset
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS" Python79MIT11130UpdatedNov 4, 2024 Python45MIT300UpdatedOct 1, 2024 point2cadPublic Code for "Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds" ...
Remote Sensing Technology is defined as the use of objective and cost-effective methods to collect data from a distance, enabling the development and maintenance of monitoring systems for forests, such as those used in REDD+ initiatives.