[HTML][HTML] 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 …

[HTML][HTML] Decision Fusion at Pixel Level of Multi-Band Data for Land Cover Classification—A Review

S Papadopoulos, G Koukiou, V Anastassopoulos - Journal of Imaging, 2024 - mdpi.com
According to existing signatures for various kinds of land cover coming from different
spectral bands, ie, optical, thermal infrared and PolSAR, it is possible to infer about the land …

A Siamese Network Combining Multiscale Joint Supervision and Improved Consistency Regularization for Weakly Supervised Building Change Detection

Y Dai, K Zhao, L Shen, S Liu, X Yan… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Building change detection (BCD) from remote sensing images is essential in various
practical applications. Recently, inspired by the achievement of deep learning in semantic …

[HTML][HTML] A Bi-Temporal-Feature-Difference-and Object-Based Method for Mapping Rice-Crayfish Fields in Sihong, China

S Ma, D Wang, H Yang, H Hou, C Li, Z Li - Remote Sensing, 2023 - mdpi.com
Rice-crayfish field (ie, RCF) distribution mapping is crucial for the adjustment of the local
crop cultivation structure and agricultural development. The single-temporal images of two …

Exploring the feasibility of Ray Tracing SAR simulation on building damage assessment

CY Ho, E Mas, B Adriano… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) imagery is indispensable for acquiring a comprehensive,
large-scale topographical perspective of the Earth's surface, facilitating the evaluation of …