MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||5|
|Section||Artificial Recognition and Application|
|Published online||15 February 2021|
Application of remote sensing to informal garbage dumps recognizing in beijing city
1 College of Geographic Sciences Changchun Normal University, Changchun 130021, China
2 Northeast Institute of Geography and Agroecology Chinese Academy of Sciences, Changchun 130102, China
* Corresponding author: firstname.lastname@example.org
The improvement of urbanization level and the imperfection of waste treatment infrastructure have caused the problem that informal garbage dump become prominent problem in China. With the development of high resolution remote sensing images, the fast monitoring and management of informal garbage dumps become possible. The informal garbage dumps in Beijing are monitored by SPOT-6 image, and the rapid and accurate grasp of the number, position and size of the informal garbage dumps are identified by the establishment of the interpretation key using multivariate data. And then it is classified by the established interpretation key. Irregular garbage sites are uneven in shape and complex in composition, which leads to their atypical features in images. Visual interpretation and classification are more suitable for other methods.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.