Change detection for remote sensing images

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fully Convolutional Siamese Networks for Change Detection
  19 Oct 2018 5 repositories listed
  This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images.
• Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
  16 Aug 2021 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  For high spatial resolution (HSR) remote sensing images, bitemporal supervised learning always dominates change detection using many pairwise labeled bitemporal images.
• MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
  20 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks.
• Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
  7 Dec 2022 2 repositories listed
  In view of these issues, we propose a more explicit and sophisticated modeling of time and accordingly establish a pair-to-video change detection (P2V-CD) framework.
• TINYCD: A (Not So) Deep Learning Model For Change Detection
  26 Jul 2022 2 repositories listed
  Despite being from 13 to 140 times smaller than the compared change detection models, and exposing at least a third of the computational complexity, our model outperforms the current state-of-the-art models by at least…
• An Empirical Study of Remote Sensing Pretraining
  6 Apr 2022 2 repositories listed
  To this end, we train different networks from scratch with the help of the largest RS scene recognition dataset up to now -- MillionAID, to obtain a series of RS pretrained backbones, including both convolutional neural…
• DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
  7 Mar 2020 2 repositories listed
  However, the available methods focus mainly on the difference information between multitemporal remote sensing images and lack robustness to pseudo-change information.
• Lake Ice Monitoring with Webcams and Crowd-Sourced Images
  18 Feb 2020 2 repositories listed
  On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.
• A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images
  26 May 2025 1 repository listed
  In BT-SCD, the boundary detection (BD) task is introduced to enhance the correlation between the SS task and the CD task in SCD, thereby promoting positive reinforcement between SS and CD tasks.
• BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
  10 Jan 2025 1 repository listed
  In this paper, we present a BDA dataset using veRy-hIGH-resoluTion optical and SAR imagery (BRIGHT) to support AI-based all-weather disaster response.
• Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
  24 Mar 2023 1 repository listed
  First, the existing multiscale feature fusion methods often use redundant feature extraction and fusion strategies, which often lead to high computational costs and memory usage.
• SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
  2 Dec 2022 1 repository listed
  Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
• An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
  1 Apr 2022 1 repository listed
  In this paper, we propose an end-to-end Supervised Domain Adaptation framework for cross-domain Change Detection, namely SDACD, to effectively alleviate the domain shift between bi-temporal images for better change…
• Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study
  24 Mar 2022 1 repository listed
  Based on that, the goal of this study is to evaluate the performance of five state-of-the-art DL CD methods, two unsupervised and three supervised, on VHR images with severe co-registration errors.
• RDP-Net: Region Detail Preserving Network for Change Detection
  20 Feb 2022 1 repository listed
  Moreover, current CNN models are heavy in parameters, which prevents their deployment on edge devices such as UAVs.
• DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images
  12 Oct 2021 1 repository listed
  In view of the insufficient of current change detection, we propose a deeply-supervised attention metric-based network (DSAMNet) for bi-temporal image change detection.
• Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity
  3 Aug 2021 1 repository listed
  In this paper we propose a novel multidirectional fusion and perception network for change detection in bi-temporal very-high-resolution remote sensing images.
• ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images
  5 Jul 2021 1 repository listed
  In this article, we propose an end-to-end superpixel-enhanced CD network (ESCNet) for VHR images, which combines differentiable superpixel segmentation and a deep convolutional neural network (DCNN).
• Siamese NestedUNet Networks for Change Detection of High Resolution Satellite Image
  27 Oct 2020 1 repository listed
  In this paper, we improve the semantic segmentation network UNet++ and propose a fully convolutional siamese network (Siam-NestedUNet) for change detection.
• Looking for change? Roll the Dice and demand Attention
  4 Sep 2020 1 repository listed
  Further, we introduce a new encoder/decoder scheme, a network macro-topology, that is tailored for the task of change detection.
• Photi-LakeIce Dataset
  18 Feb 2020 1 repository listed
  On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.
• Lake Ice Detection from Sentinel-1 SAR with Deep Learning
  17 Feb 2020 1 repository listed
  Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming.
• End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
  10 Jun 2019 1 repository listed
  To address the above-mentioned issues, a novel end-to-end CD method is proposed based on an effective encoder-decoder architecture for semantic segmentation named UNet++, where change maps could be learned from scratch…
• LAKE ICE MONITORING WITH WEBCAMS
  28 May 2018 1 repository listed
  Continuous monitoring of climate indicators is important for understanding the dynamics and trends of the climate system.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.