Deep learning-based change detection in remote sensing images: A review

A Shafique, G Cao, Z Khan, M Asad, M Aslam - Remote Sensing, 2022 - mdpi.com
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Land cover change detection with heterogeneous remote sensing images: Review, progress, and perspective

ZY Lv, HT Huang, X Li, MH Zhao… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With the fast development of remote sensing platforms and sensors technology, change
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …

A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection

Q Shi, M Liu, S Li, X Liu, F Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Change detection (CD) aims to identify surface changes from bitemporal images. In recent
years, deep learning (DL)-based methods have made substantial breakthroughs in the field …

A deep translation (GAN) based change detection network for optical and SAR remote sensing images

X Li, Z Du, Y Huang, Z Tan - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
With the development of space-based imaging technology, a larger and larger number of
images with different modalities and resolutions are available. The optical images reflect the …

A spatial-temporal attention-based method and a new dataset for remote sensing image change detection

H Chen, Z Shi - Remote Sensing, 2020 - mdpi.com
Remote sensing image change detection (CD) is done to identify desired significant
changes between bitemporal images. Given two co-registered images taken at different …

A survey on deep learning-based change detection from high-resolution remote sensing images

H Jiang, M Peng, Y Zhong, H Xie, Z Hao, J Lin, X Ma… - Remote Sensing, 2022 - mdpi.com
Change detection based on remote sensing images plays an important role in the field of
remote sensing analysis, and it has been widely used in many areas, such as resources …

Change detection based on artificial intelligence: State-of-the-art and challenges

W Shi, M Zhang, R Zhang, S Chen, Z Zhan - Remote Sensing, 2020 - mdpi.com
Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images

J Chen, Z Yuan, J Peng, L Chen… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Change detection is a basic task of remote sensing image processing. The research
objective is to identify the change information of interest and filter out the irrelevant change …

Changer: Feature interaction is what you need for change detection

S Fang, K Li, Z Li - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Change detection is an important tool for long-term Earth observation missions. It takes bi-
temporal images as input and predicts “where” the change has occurred. Different from other …

Deep learning for change detection in remote sensing: a review

T Bai, L Wang, D Yin, K Sun, Y Chen… - Geo-spatial Information …, 2023 - Taylor & Francis
ABSTRACT A large number of publications have incorporated deep learning in the process
of remote sensing change detection. In these Deep Learning Change Detection (DLCD) …