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-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

Q Zhu, X Guo, W Deng, S Shi, Q Guan, Y Zhong… - ISPRS Journal of …, 2022 - Elsevier
Due to the abundant features of high spatial resolution (HSR) remote sensing images,
change detection of these images is crucial to understanding the land-use and land-cover …

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

C Zhang, P Yue, D Tapete, L Jiang… - ISPRS Journal of …, 2020 - Elsevier
Change detection in high resolution remote sensing images is crucial to the understanding
of land surface changes. As traditional change detection methods are not suitable for the …

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 …

End-to-end change detection for high resolution satellite images using improved UNet++

D Peng, Y Zhang, H Guan - Remote Sensing, 2019 - mdpi.com
Change detection (CD) is essential to the accurate understanding of land surface changes
using available Earth observation data. Due to the great advantages in deep feature …

Land cover change detection techniques: Very-high-resolution optical images: A review

Z Lv, T Liu, JA Benediktsson… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …

Unsupervised deep change vector analysis for multiple-change detection in VHR images

S Saha, F Bovolo, L Bruzzone - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Change detection (CD) in multitemporal images is an important application of remote
sensing. Recent technological evolution provided very high spatial resolution (VHR) …

A survey on object detection in optical remote sensing images

G Cheng, J Han - ISPRS journal of photogrammetry and remote sensing, 2016 - Elsevier
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions

D Wen, X Huang, F Bovolo, J Li, X Ke… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …

Remote sensing technologies for enhancing forest inventories: A review

JC White, NC Coops, MA Wulder… - Canadian Journal of …, 2016 - Taylor & Francis
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …