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Satellite imagery plays a crucial role in monitoring changes happening on Earth's surface and aiding in climate analysis, ecosystem assessment, and disaster response.
The decision tree classifier: Design and potential
Philip H Swain and Hans Hauska · 1977
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Change detection in coastal zone environments
RA Weismiller, SJ Kristof, DK Scholz, PE Anuta, and SA Momin · 1977
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PH Swain · 1978
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An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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A scene change detection framework for multi-temporal very high resolution remote sensing images
Chen Wu, Lefei Zhang, and Liangpei Zhang · 2016
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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
John Ball, Derek Anderson, and Chee Seng Chan · 2017
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Separate segmentation of multi-temporal high-resolution remote sensing images for object-based change detection in urban area
Xueliang Zhang, Pengfeng Xiao, Xuezhi Feng, and Min Yuan · 2017
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Land cover change and conversions
Ivan Haščič and Alexander Mackie · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Multitask learning for large-scale semantic change detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, and Yann Gousseau · 2019
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Large scale unsupervised domain adaptation of segmentation networks with adversarial learning
Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, and Dalton Lunga · 2019
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Semantic segmentation of crop type in africa: A novel dataset and analysis of deep learning methods
Rose M Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, and David Lobell · 2019
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Deep learning and process understanding for data-driven earth system science
Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, and fnm Prabhat · 2019
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Report on the role of space based earth observations to support planning, response and recovery for bushfires
Bushfire Earth Observation Taskforce · 2020
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Lightweight temporal self-attention for classifying satellite images time series
Vivien Sainte Fare Garnot and Loic Landrieu · 2020
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Satellite image time series classification with pixel-set encoders and temporal self-attention
Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano, and Nesrine Chehata · 2020
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Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery
Javed Iqbal and Mohsen Ali · 2020
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Unsupervised domain adaptation techniques for classification of satellite image time series
Benjamin Lucas, Charlotte Pelletier, Daniel Schmidt, Geoffrey I. Webb, and François Petitjean · 2020
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Change detection techniques in earth observation
Anastasia Moumtzidou, Stelios Andreadis, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Sitokonstantinou, Dennis Hoppe, Michael Gienger, and Li Zhong · 2020
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Unsupervised deep joint segmentation of multitemporal high-resolution images
Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, and Lorenzo Bruzzone · 2020
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The eyes of the gods: A survey of unsupervised domain adaptation methods based on remote sensing data
Mengqiu Xu, Ming Wu, Kaixin Chen, Chuang Zhang, and Jun Guo · 2022
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A transformer-based siamese network and an open optical dataset for semantic change detection of remote sensing images
Panli Yuan, Qingzhan Zhao, Xingbiao Zhao, Xuewen Wang, Xuefeng Long, and Yuchen Zheng · 2022
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Spatially and semantically enhanced siamese network for semantic change detection in high-resolution remote sensing images
Manqi Zhao, Zifei Zhao, Shuai Gong, Yunfei Liu, Jian Yang, Xiong Xiong, and Shengyang Li · 2022
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Changemask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection
Zhuo Zheng, Yanfei Zhong, Shiqi Tian, Ailong Ma, and Liangpei Zhang · 2022
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Deep learning for change detection in remote sensing: a review
Ting Bai, Le Wang, Dameng Yin, Kaimin Sun, Yepei Chen, Wenzhuo Li, and Deren Li · 2023
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Panoptic segmentation of satellite image time series with convolutional temporal attention networks
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Denethor: The dynamicearthnet dataset for harmonized, inter-operable, analysis-ready, daily crop monitoring from space
Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, et al · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Segmenter: Transformer for semantic segmentation
Robin Strudel, Ricardo Garcia, Ivan Laptev, and Cordelia Schmid · 2021
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The multi-temporal urban development spacenet dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez Manso, Jacob Shermeyer, Nicholas Weir, and Ryan Lewis · 2021
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Qfabric: Multi-task change detection dataset
Sagar Verma, Akash Panigrahi, and Siddharth Gupta · 2021
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Asymmetric siamese networks for semantic change detection in aerial images
Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo, and Liangpei Zhang · 2021
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Mapformer: Boosting change detection by using pre-change information
Maximilian Bernhard, Niklas Strauß, and Matthias Schubert · 2023
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Temporal-domain adaptation for satellite image time-series land-cover mapping with adversarial learning and spatially aware self-training
Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas Baghdadi, and Adrien Hadj Salah · 2023
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Mtscd-net: A network based on multi-task learning for semantic change detection of bitemporal remote sensing images
Fengzhi Cui and Jie Jiang · 2023
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Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network
Yi Huang, Jiangtao Peng, Na Chen, Weiwei Sun, Qian Du, Kai Ren, and Ke Huang · 2023
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Ttnet: A temporal-transform network for semantic change detection based on bi-temporal remote sensing images
Liangcun Jiang, Feng Li, Li Huang, Feifei Peng, and Lei Hu · 2023
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High resolution imagery of flood-hit areas supports cyclone recovery
Land Information New Zealand · 2023
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Lightweight remote sensing change detection with progressive feature aggregation and supervised attention
Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, and Albert Y Zomaya · 2023
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Vits for sits: Vision transformers for satellite image time series
Michail Tarasiou, Erik Chavez, and Stefanos Zafeiriou · 2023
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Elliot Vincent, Jean Ponce, and Mathieu Aubry · 2023
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Joint spatio-temporal modeling for semantic change detection in remote sensing images
Lei Ding, Jing Zhang, Haitao Guo, Kai Zhang, Bing Liu, and Lorenzo Bruzzone · 2024
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Time-series land cover change detection using deep learning-based temporal semantic segmentation
Haixu He, Jining Yan, Dong Liang, Zhongchang Sun, Jun Li, and Lizhe Wang · 2024
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Tbscd-net: A siamese multi-task network integrating transformers and boundary regularization for semantic change detection from vhr satellite images
Xuanguang Liu, Chenguang Dai, Zhenchao Zhang, Mengmeng Li, Hanyun Wang, Hongliang Ji, and Yujie Li · 2024
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Earth observation satellites
World Meteorological Organization · 2024
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