The paper concerns on the problem of ***, while the special issue “Deep Learning in Remote Sensing: Sample Datasets, Algorithms and Applications” of the journal “Remote Sensing” is also concerning on the Innovative deep learning algorithms for remote sensing data processing, thus the paper ...
Katiyar SkArun P VKatiyar, S.; Arun, P. A Review Over the Applicability of Image Entropy in Analyses of Remote Sensing Datasets. arXiv 2014, arXiv:1405.6133. Available online: https://arxiv.org/ftp/arxiv/papers/1405/1405. 6133.pdf (accessed on 11 August 2018)....
well-suited forremote sensing applications, where a limited amount of reference data is often provided. Third, even though the method is not widely popular, in recent years there has been a significant increase inSVMworks on remote sensing problems suggesting this review is current and appropriate...
will expand the information base on surface properties and counteract some of the current limitations of optical datasets. The integration of datasets from different sources is a current challenge for scientists, who should find new connections and design new joint methodologies that fully exploit 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...
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...
- 《Remote Sensing》 被引量: 63发表: 2012年 Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods [EN] The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the ...
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...
[ISPRS2021]Multimodal remote sensing benchmarkdatasetsfor land cover classification with a shared and specific feature learning model https://www.sciencedirect.com/science/article/pii/S0924271621001362 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。
This review covers a wider perspective in terms of both 2D remote sensing images and 3D point clouds. • This review provides a detail survey on 2D and 3D remote sensing datasets used for road extraction. • This review presents a detail analysis of challenges and future trends of road ex...