Issue |
MATEC Web Conf.
Volume 228, 2018
2018 3rd International Conference on Circuits and Systems (CAS 2018)
|
|
---|---|---|
Article Number | 02013 | |
Number of page(s) | 4 | |
Section | Communications and Information Technology | |
DOI | https://doi.org/10.1051/matecconf/201822802013 | |
Published online | 14 November 2018 |
Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
Ocean University of China, Qingdao, Shandong, 266100 China
This paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with their historical attributes; it can automatically monitor land use change. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification effect, and it can accurately determine the change area accurately and automatically. However, there are some partial errors in the region.
Key words: Remote sensing image / GIS database / Fuzzy classification / Cultivated land
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.