Change detection methods for remote sensing in the last decade: A comprehensive review

G Cheng, Y Huang, X Li, S Lyu, Z Xu, H Zhao, Q Zhao… - Remote Sensing, 2024 - mdpi.com
Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …

Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms

L Wang, M Zhang, X Gao, W Shi - Remote Sensing, 2024 - mdpi.com
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …

ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning

S Dong, L Wang, B Du, X Meng - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Remote sensing change detection (RSCD), which aims to identify surface changes from
bitemporal images, is significant for many applications, such as environmental protection …

VcT: Visual change transformer for remote sensing image change detection

B Jiang, Z Wang, X Wang, Z Zhang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Given two remote sensing images, the goal of visual change detection task is to detect
significantly changed areas between them. Existing visual change detectors usually adopt …

Adjacent-level feature cross-fusion with 3-D CNN for remote sensing image change detection

Y Ye, M Wang, L Zhou, G Lei, J Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning-based (DL-based) change detection (CD) using remote sensing (RS) images
has received increasing attention in recent years. However, how to effectively extract and …

Continuous cross-resolution remote sensing image change detection

H Chen, H Zhang, K Chen, C Zhou… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Most contemporary supervised remote sensing (RS) image change detection (CD)
approaches are customized for equal-resolution bitemporal images. Real-world applications …

Multiscale attention fusion graph network for remote sensing building change detection

Y Shangguan, J Li, Z Chen, L Ren… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of imaging systems and satellite technology, higher quality high-
resolution remote sensing (RS) images are being applied in building change detection …

[HTML][HTML] Robust change detection for remote sensing images based on temporospatial interactive attention module

J Wei, K Sun, W Li, W Li, S Gao, S Miao, Q Zhou… - International Journal of …, 2024 - Elsevier
Change Detection (CD) is a vital monitoring method in Earth observation, especially
pertinent for land-use analysis, city management, and disaster damage assessment …

TChange: A hybrid transformer-CNN change detection network

Y Deng, Y Meng, J Chen, A Yue, D Liu, J Chen - Remote Sensing, 2023 - mdpi.com
Change detection is employed to identify regions of change between two different time
phases. Presently, the CNN-based change detection algorithm is the mainstream direction …

[HTML][HTML] Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges

D Peng, X Liu, Y Zhang, H Guan, Y Li… - International Journal of …, 2025 - Elsevier
Change detection (CD) aims to compare and analyze images of identical geographic areas
but different dates, whereby revealing spatio-temporal change patterns of Earth's surface …