[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] Unmanned aerial vehicle for remote sensing applications—A review

H Yao, R Qin, X Chen - Remote Sensing, 2019 - mdpi.com
The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …

Linking points with labels in 3D: A review of point cloud semantic segmentation

Y Xie, J Tian, XX Zhu - IEEE Geoscience and remote sensing …, 2020 - ieeexplore.ieee.org
Ripe with possibilities offered by deep-learning techniques and useful in applications
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …

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 …

A review of building detection from very high resolution optical remote sensing images

J Li, X Huang, L Tu, T Zhang, L Wang - GIScience & Remote …, 2022 - Taylor & Francis
Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …

Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …

S Tian, Y Zhong, Z Zheng, A Ma, X Tan… - ISPRS Journal of …, 2022 - Elsevier
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …