Heterogeneous/Homogeneous Change Detection dataset

"Please if you use this datasets we appreciated that you reference this repository and cite the works related that made possible the generation of this dataset." This change detection datastet has different events, satellites, resolutions and includes both homogeneous/heterogeneous cases. The main idea of the dataset is to bring a benchmark on semantic change detection in remote sensing field.This dataset is the outcome of the following publications: @article{ JimenezSierra2022graph,author={Jimenez-Sierra, David Alejandro and Quintero-Olaya, David Alfredo and Alvear-Mu{\~n}oz, Juan Carlos and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Florez-Ospina, Juan Felipe and Chanussot, Jocelyn},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection},year={2022},volume={60},number={},pages={1-16},doi={10.1109/TGRS.2022.3168126}} @article{ JimenezSierra2020graph,title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},journal={Remote Sensing},volume={12},number={17},pages={2683},year={2020},publisher={Multidisciplinary Digital Publishing Institute},doi={10.3390/rs12172683}} @inproceedings{jimenez2021blue,title={Blue noise sampling and Nystrom extension for graph based change detection},author={Jimenez-Sierra, David Alejandro and Ben{\'\i}tez-Restrepo, Hern{\'a}n Dar{\'\i}o and Arce, Gonzalo R and Florez-Ospina, Juan F},booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},ages={2895--2898},year={2021},organization={IEEE},doi={10.1109/IGARSS47720.2021.9555107}} @article{florez2023exploiting,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F and Jimenez Sierra, David A and Benitez-Restrepo, Hernan D and Arce, Gonzalo},journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023},volume={61},number={},pages={1-16},doi={10.1109/TGRS.2023.3322377}} @article{florez2023exploitingxiv,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F. and Jimenez-Sierra, David A. and Benitez-Restrepo, Hernan D. and Arce, Gonzalo R},year={2023},publisher={TechRxiv},doi={10.36227/techrxiv.23295866.v1}} In the table on the html file (dataset_table.html) are tabulated all the metadata and details related to each case within the dasetet. The cases with a link, were gathered from those sources and authors, therefore you should refer to their work as well. The rest of the cases or events (without a link), were obtained through the use of open sources such as: Copernicus European Space Agency Alaska Satellite Facility (Vertex) Earth Data In addition, we carried out all the processing of the images by using the SNAP toolbox from the European Space Agency. This proccessing involves the following: Data co-registration Cropping Apply Orbit (for SAR data) Calibration (for SAR data) Speckle Filter (for SAR data) Terrain Correction (for SAR data) Lastly, the ground truth was obtained from homogeneous images for pre/post events by drawing polygons to highlight the areas where a visible change was present. The images where layout and synchorized to be zoomed over the same are to have a better view of changes. This was an exhaustive work in order to be precise as possible.Feel free to improve and contribute to this dataset.若您使用本数据集，请务必引用本仓库，并引用为构建本数据集提供支撑的相关研究成果，我们将不胜感激。 本变化检测数据集涵盖多种事件、卫星与分辨率场景，同时包含同构/异构（homogeneous/heterogeneous）两类任务场景。本数据集旨在为遥感领域的语义变化检测任务提供基准测试集。本数据集源自以下发表成果： @article{JimenezSierra2022graph, 作者：Jimenez-Sierra, David Alejandro、Quintero-Olaya, David Alfredo、Alvear-Muñoz, Juan Carlos、Benítez-Restrepo, Hernán Darío、Florez-Ospina, Juan Felipe、Chanussot, Jocelyn, 期刊：《IEEE地球科学与遥感汇刊》（IEEE Transactions on Geoscience and Remote Sensing）, 标题：基于信号平滑性表征的图学习方法用于同构与异构变化检测, 年份：2022, 卷：60, 期：无, 页码：1-16, DOI：10.1109/TGRS.2022.3168126 } @article{JimenezSierra2020graph, 标题：面向水稻作物变化检测与生物量估算的图基数据融合方法, 作者：Jimenez-Sierra, David Alejandro、Benítez-Restrepo, Hernán Darío、Vargas-Cardona, Hernán Darío、Chanussot, Jocelyn, 期刊：《遥感》（Remote Sensing）, 卷：12, 期：17, 页码：2683, 年份：2020, 出版方：多学科数字出版机构（Multidisciplinary Digital Publishing Institute）, DOI：10.3390/rs12172683 } @inproceedings{jimenez2021blue, 标题：基于图的变化检测的蓝噪声采样与Nystrom扩展, 作者：Jimenez-Sierra, David Alejandro、Benítez-Restrepo, Hernán Darío、Arce, Gonzalo R、Florez-Ospina, Juan F, 会议名称：2021 IEEE国际地球科学与遥感研讨会（2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS）, 页码：2895–2898, 年份：2021, 主办机构：IEEE, DOI：10.1109/IGARSS47720.2021.9555107 } @article{florez2023exploiting, 标题：利用变分不等式实现图上的广义变化检测, 作者：Florez-Ospina, Juan F、Jimenez Sierra, David A、Benitez-Restrepo, Hernan D、Arce, Gonzalo, 期刊：《IEEE地球科学与遥感汇刊》, 年份：2023, 卷：61, 期：无, 页码：1-16, DOI：10.1109/TGRS.2023.3322377 } @article{florez2023exploitingxiv, 标题：利用变分不等式实现图上的广义变化检测, 作者：Florez-Ospina, Juan F.、Jimenez-Sierra, David A.、Benitez-Restrepo, Hernan D.、Arce, Gonzalo R, 年份：2023, 出版平台：TechRxiv, DOI：10.36227/techrxiv.23295866.v1 } 本数据集的所有元数据与各场景详情已整理至HTML文件dataset_table.html的表格中。带有链接的场景均取自上述研究成果与原作者，因此请您一并引用其相关工作。 其余无链接的场景或事件均源自以下开源渠道： 哥白尼计划（Copernicus） 欧洲空间局（European Space Agency） 阿拉斯加卫星设备中心（Alaska Satellite Facility, Vertex） 地球数据平台（Earth Data） 此外，我们使用欧洲空间局提供的SNAP工具箱完成了所有影像的预处理工作，具体流程包括： 数据配准（Data co-registration） 影像裁剪（Cropping） 轨道校正（针对合成孔径雷达（Synthetic Aperture Radar, SAR）数据，Apply Orbit） 辐射定标（针对SAR数据，Calibration） 斑点滤波（针对SAR数据，Speckle Filter） 地形校正（针对SAR数据，Terrain Correction） 最后，本数据集的真值（ground truth）标签通过对前后时相的同构影像绘制多边形框，以标注存在显著变化的区域得到。我们将所有影像对齐并统一缩放至相同视野，以便更清晰地观察变化区域。为尽可能保证标注精度，此项工作耗费了大量精力。欢迎您对本数据集进行改进与贡献。