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Change detection of multisource remote sensing images: a review
Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring,
territorial planning, and disaster assessment. With the abundance of data collected by …
territorial planning, and disaster assessment. With the abundance of data collected by …
Edge-guided remote-sensing image compression
Using high-fidelity image compression makes it possible to transmit remote-sensing images
in real-time. Nevertheless, existing lossy remote-sensing image compression (RSIC) …
in real-time. Nevertheless, existing lossy remote-sensing image compression (RSIC) …
CADUI: Cross-attention-based depth unfolding iteration network for pansharpening remote sensing images
Pansharpening is an important technology for remote sensing imaging systems to obtain
high-resolution multispectral (HRMS) images. It mainly obtains HRMS images with uniform …
high-resolution multispectral (HRMS) images. It mainly obtains HRMS images with uniform …
Deep learning meets object-based image analysis: Tasks, challenges, strategies, and perspectives
Deep learning has gained significant attention in remote sensing, especially in pixel-or
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
Large-scale high-altitude uav-based vehicle detection via pyramid dual pooling attention path aggregation network
UAVs can collect vehicle data in high-altitude scenes, playing a significant role in intelligent
urban management due to their wide of view. Nevertheless, the current datasets for UAV …
urban management due to their wide of view. Nevertheless, the current datasets for UAV …
[HTML][HTML] Accurate vegetation destruction detection using remote sensing imagery based on the three-band difference vegetation index (TBDVI) and dual-temporal …
Satellite remote sensing, as an important tool for Earth observation, has been widely used to
monitor various vegetation destruction events (VDEs), such as logging, wildfires and insect …
monitor various vegetation destruction events (VDEs), such as logging, wildfires and insect …
Scene change detection by differential aggregation network and class probability-based fusion strategy
Scene change detection identifies functional changes at the scene level. Compared with
pixel-level and object-level change detection, it can provide a higher level understanding of …
pixel-level and object-level change detection, it can provide a higher level understanding of …
[HTML][HTML] A context-structural feature decoupling change detection network for detecting earthquake-triggered damage
Identifying damaged areas after earthquakes is essential for emergency rescue and
rebuilding efforts. Remote sensing image change detection can facilitate these tasks by …
rebuilding efforts. Remote sensing image change detection can facilitate these tasks by …
Unsupervised Change Detection in HR Remote Sensing Imagery Based on Local Histogram Similarity and Progressive Otsu
Y Shen, Y Wei, H Zhang, X Rui, B Li, J Wang - Remote Sensing, 2024 - mdpi.com
Unsupervised change detection of land cover in multispectral satellite remote sensing
images with a spatial resolution of 2–5 m has always been a challenging task. This paper …
images with a spatial resolution of 2–5 m has always been a challenging task. This paper …
High-Resolution Remote Sensing Image Change Detection Based on Fourier Feature Interaction and Multi-scale Perception
Y Chen, S Feng, C Zhao, N Su, W Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a significant means of Earth observation, change detection in high-resolution remote
sensing images has received extensive attention. Nevertheless, the variability in imaging …
sensing images has received extensive attention. Nevertheless, the variability in imaging …