Sea-land segmentation method based on an improved MA-Net for Gaofen-2 images
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01391-7.pdf
Reference29 articles.
1. Cheng D, Meng G, Cheng G et al (2016a) SeNet: structured edge network for sea–land segmentation. IEEE Geosci Remote Sens Lett 14(2):247–251
2. Cheng D, Meng G, Xiang S et al (2016b) Efficient sea-land segmentation using seeds learning and edge directed graph cut. Neurocomputing 207:36–47
3. Colak TI, Senel G, Goksel C (2019) Coastline zone extraction using Landsat-8 OLI imagery, case study:bodrum peninsula,Turkey. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-4/W12
4. Cui B, Jing W, Huang L et al (2020) SANet: a sea–land segmentation network via adaptive multiscale feature learning. IEEE J Sel Top Appl Earth Observations Remote Sens 14:116–126
5. Da Costa LB, De Carvalho OLF, De Albuquerque AO et al (2022) Deep semantic segmentation for detecting eucalyptus planted forests in the Brazilian territory using Sentinel-2 imagery. Geocarto Int 37(22):6538–6550
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