A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images

Published:2022-05 Issue: Volume:109 Page:102769
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zhang Chenxiao,Feng Yukang,Hu Lei,Tapete Deodato,Pan Li,Liang Zheheng,Cigna Francesca,Yue Peng

Funder

Agenzia Spaziale Italiana

National Postdoctoral Program for Innovative Talents

China Postdoctoral Science Foundation

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference30 articles.

1. The COSMO-SkyMed dual use earth observation program: Development, qualification, and results of the commissioning of the overall constellation;Caltagirone;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2014

2. Change detection in multisource VHR images via deep siamese convolutional multiple-layers recurrent neural network;Chen;IEEE Trans. Geosci. Remote Sens.,2019

3. Tracking human-induced landscape disturbance at the nasca lines UNESCO world heritage site in Peru with COSMO-SkyMed InSAR;Cigna;Remote Sensing,2018

4. Amplitude change detection with ENVISAT ASAR to image the cultural landscape of the Nasca region, Peru;Cigna;Archaeological Prospection,2013

5. October. Fully convolutional siamese networks for change detection;Daudt,2018

Cited by 42 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. Change detection of multisource remote sensing images: a review;International Journal of Digital Earth;2024-09-09

2. A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data;International Journal of Applied Earth Observation and Geoinformation;2024-09

3. Fuzzy Rule-Based Heterogeneous Domain Adaptive: A Case Study of Particle Motion in Flow Field from Simulation to Experiment;International Journal on Artificial Intelligence Tools;2024-08-14

4. Heterogeneous Image Change Detection With Transfer Learning-Based Multi-Layer Convolutional Adversarial Networks;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Deep Learning for Cross-Domain Building Change Detection from Multi-Source Very High-Resolution Satellite Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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