An improved coverage-oriented retrieval algorithm for large-area remote sensing data-Reference-Cited by-同舟云学术

An improved coverage-oriented retrieval algorithm for large-area remote sensing data

Published:2022-03-07 Issue:1 Volume:15 Page:606-625
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Yan Xuejing¹²,Liu Shibin¹,Liu Wei¹,Dai Qin¹

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. University of Chinese Academy of Sciences, Beijing, People’s Republic of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2030816

Reference41 articles.

1. Aerospace Information Research Institute, Chinese Academy of Sciences. Aerospace Institute Remote Sensing Data Service System [EB/OL]. http://eds.ceode.ac.cn/ (accessed on 17 September 2021).

2. ArcGIS for Desktop. https://desktop.arcgis.com/en/arcmap/ latest/tools/analysis-toolbox/how-union-analysis-works.htm (accessed on 17 September 2021).

3. Retrieval of remotely sensed imagery using spectral information content

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

Cited by 5 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. A flexible multi-temporal orthoimage mosaicking method based on dynamic variable patches;Information Fusion;2024-08

2. Geospatial Machine Learning and the Power of Python Programming;Advances in Geospatial Technologies;2024-05-10

3. A new approach for national-scale Building Energy Models based on Energy Performance Certificates in European countries: The case of Spain;Heliyon;2024-02

4. Remote Sensing Image Retrieval Algorithm for Dense Data;Remote Sensing;2023-12-26

5. Spatiotemporal imagery selection for full coverage image generation over a large area with HFA-Net based quality grading;Geo-spatial Information Science;2023-11-09