Related references
Note: Only part of the references are listed.SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
Sheng Fang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)
Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning
Ying Sun et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)
A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images
Huihui Dong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Built-Up Area Change Detection Using Multi-Task Network with Object-Level Refinement
Song Gao et al.
REMOTE SENSING (2022)
Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement
Hao Xu et al.
REMOTE SENSING (2022)
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation
Kecheng Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Method of urban land change detection that is based on GF-2 high-resolution RS images
Zhongbin Li et al.
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION (2022)
Single- and Cross-Modality Near Duplicate Image Pairs Detection via Spatial Transformer Comparing CNN
Yi Zhang et al.
SENSORS (2021)
Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks
Zhen Dong et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images
Junzheng Wu et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
Sudipan Saha et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Analysis on change detection techniques for remote sensing applications: A review
Yasir Afaq et al.
ECOLOGICAL INFORMATICS (2021)
A Novel Change Detection Framework in Urban Area Using Multilevel Matching Feature and Automatic Sample Extraction Strategy
Yuanxiu Zhou et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
Haeyun Lee et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection
Huiwei Jiang et al.
REMOTE SENSING (2020)
Deep learning in environmental remote sensing: Achievements and challenges
Qiangqiang Yuan et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Fusing China GF-5 Hyperspectral Data with GF-1, GF-2 and Sentinel-2A Multispectral Data: Which Methods Should Be Used?
Kai Ren et al.
REMOTE SENSING (2020)
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Hao Chen et al.
REMOTE SENSING (2020)
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
Chenxiao Zhang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images
Xin Huang et al.
REMOTE SENSING OF ENVIRONMENT (2020)
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets
Seyd Teymoor Seydi et al.
REMOTE SENSING (2020)
How urbanization influence urban land consumption intensity: Evidence from China
Bing Kuang et al.
HABITAT INTERNATIONAL (2020)
Urban Building Change Detection in SAR Images Using Combined Differential Image and Residual U-Net Network
Lu Li et al.
REMOTE SENSING (2019)
Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami
Jeremie Sublime et al.
REMOTE SENSING (2019)
A Post-Classification Comparison Method for SAR and Optical Images Change Detection
Ling Wan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples
Shunping Ji et al.
REMOTE SENSING (2019)
High-Resolution Remote Sensing Image Change Detection Combined With Pixel-Level and Object-Level
Lu Xu et al.
IEEE ACCESS (2019)
CNN-Based Semantic Change Detection in Satellite Imagery
Ananya Gupta et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019)
Municipalities' understanding of the Smart City concept: An exploratory analysis in Belgium
Jonathan Desdemoustier et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2019)
Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
Xin Wang et al.
REMOTE SENSING (2018)
Deep Learning for Computer Vision: A Brief Review
Athanasios Voulodimos et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)
Urban land expansion and the floating population in China: For production or for living?
Jiaojiao Luo et al.
CITIES (2018)
Assessment on the urbanization strategy in China: Achievements, challenges and reflections
Xingliang Guan et al.
HABITAT INTERNATIONAL (2018)
A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion
Chen Wu et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Building change detection via a combination of CNNs using only RGB aerial imageries
Keisuke Nemoto et al.
REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS II (2017)
Improved NDBI differencing algorithm for built-up regions change detection from remote-sensing data: an automated approach
Avnish Varshney
REMOTE SENSING LETTERS (2013)
Object-based change detection
Gang Chen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach
Chunyang He et al.
REMOTE SENSING LETTERS (2010)
PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data
J. S. Deng et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
Digital change detection methods in ecosystem monitoring: a review
P Coppin et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Y Zha et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)