Two novel benchmark datasets from ArcGIS and bing world imagery for remote sensing image retrieval-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Two novel benchmark datasets from ArcGIS and bing world imagery for remote sensing image retrieval

Published:2020-11-10 Issue:1 Volume:42 Page:240-258
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hou Dongyang¹,Miao Zelang¹,Xing Huaqiao²,Wu Hao³

Affiliation:

1. School of Geosciences and Info-Physics, Central South University, Changsha, P.R. China

2. School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan, P.R. China

3. Business Department, National Geomatics Center of China, Beijing, P.R. China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Yunnan Fundamental Research Projects

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1804090

Reference28 articles.

1. Enhancing remote sensing image retrieval using a triplet deep metric learning network

2. Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach

3. Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method

4. Remote Sensing Image Scene Classification: Benchmark and State of the Art

5. Multilevel Local Pattern Histogram for SAR Image Classification

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. K-means Pelican Optimization Algorithm based Search Space Reduction for Remote Sensing Image Retrieval;Journal of the Indian Society of Remote Sensing;2024-08-29

2. Retrieval of dominant methane (CH₄) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021;Earth System Science Data;2024-07-24

3. Analyzing recent trends in deep-learning approaches: a review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability;International Journal on Smart Sensing and Intelligent Systems;2024-04-01

4. An Adaptive Weighted Method for Remote Sensing Image Retrieval with Noisy Labels;Applied Sciences;2024-02-21

5. ROI-Guided Attention Learning for Remote Sensing Image Retrieval;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3