Change detection methods for remote sensing in the last decade: A comprehensive review
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 …
detect and analyze changes occurring in the same geographical area over time, which has …
Hyperspectral image instance segmentation using spectral–spatial feature pyramid network
In recent years, hyperspectral image (HSI) classification and detection techniques based on
deep learning have been widely applied to various aspects, such as environmental …
deep learning have been widely applied to various aspects, such as environmental …
Spatial-contextual information utilization framework for land cover change detection with hyperspectral remote sensed images
Land cover change detection (LCCD) using bitemporal remote sensing images is a crucial
task for identifying the change areas on the Earth's surface. However, the utilization of …
task for identifying the change areas on the Earth's surface. However, the utilization of …
Continuous cross-resolution remote sensing image change detection
Most contemporary supervised remote sensing (RS) image change detection (CD)
approaches are customized for equal-resolution bitemporal images. Real-world applications …
approaches are customized for equal-resolution bitemporal images. Real-world applications …
[HTML][HTML] MF-SRCDNet: Multi-feature fusion super-resolution building change detection framework for multi-sensor high-resolution remote sensing imagery
S Li, Y Wang, H Cai, Y Lin, M Wang, F Teng - International Journal of …, 2023 - Elsevier
Building change detection is essential for evaluating land use, land cover change, and
sustainable development. However, owing to the mismatched resolutions from multi-sensors …
sustainable development. However, owing to the mismatched resolutions from multi-sensors …
TriTF: A triplet transformer framework based on parents and brother attention for hyperspectral image change detection
X Wang, K Zhao, X Zhao, S Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral image change detection (HSI-CD) is a technique to accurately detect land
cover changes by using HSIs with rich spatial–spectral information. In recent years, the HSI …
cover changes by using HSIs with rich spatial–spectral information. In recent years, the HSI …
A semi-supervised domain alignment transformer for hyperspectral images change detection
Supervised deep learning (DL)-based hyperspectral images change detection (HSIs-CD)
has demonstrated excellent performance; however, current methods require many labeled …
has demonstrated excellent performance; however, current methods require many labeled …
Multiscale adaptive fusion network for hyperspectral image denoising
Removing the noise and improving the visual quality of hyperspectral images (HSIs) is
challenging in academia and industry. Great efforts have been made to leverage local …
challenging in academia and industry. Great efforts have been made to leverage local …
HiCD: Change detection in quality-varied images via hierarchical correlation distillation
C Pang, X Weng, J Wu, Q Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Advanced change detection (CD) techniques primarily target image pairs of equal and high
quality. However, variations in imaging conditions and platforms frequently lead to image …
quality. However, variations in imaging conditions and platforms frequently lead to image …
GlobalMind: Global multi-head interactive self-attention network for hyperspectral change detection
High spectral resolution imagery of the Earth's surface enables users to monitor changes
over time in fine-grained scale, playing an increasingly important role in agriculture …
over time in fine-grained scale, playing an increasingly important role in agriculture …