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 …

Flood detection with SAR: A review of techniques and datasets

D Amitrano, G Di Martino, A Di Simone, P Imperatore - Remote Sensing, 2024 - mdpi.com
Floods are among the most severe and impacting natural disasters. Their occurrence rate
and intensity have been significantly increasing worldwide in the last years due to climate …

Tech-driven forest conservation: combating deforestation with internet of things, artificial intelligence, and remote sensing

B Haq, MA Jamshed, K Ali, B Kasi… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Deforestation poses a significant global environmental challenge with far-reaching
consequences for biodiversity, climate change, and livelihoods. In this context, applying …

[HTML][HTML] The use of artificial intelligence and satellite remote sensing in land cover change detection: Review and perspectives

Z Gu, M Zeng - Sustainability, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) and Satellite Remote Sensing in Land Cover
Change Detection (LCCD) has gained increasing significance in scientific discovery and …

FENet: Feature enhancement network for land cover classification

Z Ma, M **a, H Lin, M Qian, Y Zhang - International Journal of …, 2023 - Taylor & Francis
Extracting mask information of buildings and water areas from high resolution remote
sensing images is beneficial to monitoring and management of urban development …

HMCNet: Hybrid efficient remote sensing images change detection network based on cross-axis attention MLP and CNN

L Wang, H Li - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
As an important task in the field of remote sensing image interpretation, change detection
(CD) has been extensively studied by scholars in recent years. Affected by the illumination …

[HTML][HTML] SMD-Net: Siamese multi-scale difference-enhancement network for change detection in remote sensing

X Zhang, L He, K Qin, Q Dang, H Si, X Tang, L Jiao - Remote Sensing, 2022 - mdpi.com
Change detection, as an important task of remote sensing image processing, has a wide
range of applications in many aspects such as land use and natural disaster assessment …

[HTML][HTML] Open-pit mining area extraction from high-resolution remote sensing images based on EMANet and FC-CRF

Z Ren, L Wang, Z He - Remote Sensing, 2023 - mdpi.com
Rapid and accurate identification of open-pit mining areas is essential for guiding production
planning and assessing environmental impact. Remote sensing technology provides an …

Change detection from synthetic aperture radar images via dual path denoising network

J Wang, F Gao, J Dong, Q Du… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Benefited from the rapid and sustainable development of synthetic aperture radar (SAR)
sensors, change detection from SAR images has received increasing attentions over the …

[HTML][HTML] Optimum supervised classification algorithm identification by investigating PlanetScope and Skysat multispectral satellite data of Covid lockdown

AK Shakya, A Ramola, S Singh, A Vidyarthi - Geosystems and …, 2023 - Elsevier
This research identifies the optimum supervised classification algorithm based on modeling
Covid 19 lockdown situations all around the World. The deadly Covid 19 viruses suddenly …