Review of pixel-level remote sensing image fusion based on deep learning
Z Wang, Y Ma, Y Zhang - Information Fusion, 2023 - Elsevier
The booming development of remote sensing images in many visual tasks has led to an
increasing demand for obtaining images with more precise details. However, it is impractical …
increasing demand for obtaining images with more precise details. However, it is impractical …
Changer: Feature interaction is what you need for change detection
S Fang, K Li, Z Li - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Change detection is an important tool for long-term Earth observation missions. It takes bi-
temporal images as input and predicts “where” the change has occurred. Different from other …
temporal images as input and predicts “where” the change has occurred. Different from other …
Joint spatio-temporal modeling for semantic change detection in remote sensing images
Semantic change detection (SCD) refers to the task of simultaneously extracting changed
areas and their semantic categories (before and after the changes) in remote sensing …
areas and their semantic categories (before and after the changes) in remote sensing …
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …
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 …
and effective approach, can provide the change information with respect to geospatial …
Transition is a process: Pair-to-video change detection networks for very high resolution remote sensing images
As an important yet challenging task in Earth observation, change detection (CD) is
undergoing a technological revolution, given the broadening application of deep learning …
undergoing a technological revolution, given the broadening application of deep learning …
Exchange means change: An unsupervised single-temporal change detection framework based on intra-and inter-image patch exchange
Change detection is a critical task in studying the dynamics of ecosystems and human
activities using multi-temporal remote sensing images. While deep learning has shown …
activities using multi-temporal remote sensing images. While deep learning has shown …
Fully transformer network for change detection of remote sensing images
Recently, change detection (CD) of remote sensing images have achieved great progress
with the advances of deep learning. However, current methods generally deliver incomplete …
with the advances of deep learning. However, current methods generally deliver incomplete …
[HTML][HTML] Global-aware siamese network for change detection on remote sensing images
Change detection (CD) in remote sensing images is one of the most important technical
options to identify changes in observations in an efficient manner. CD has a wide range of …
options to identify changes in observations in an efficient manner. CD has a wide range of …
A decoupling paradigm with prompt learning for remote sensing image change captioning
Remote sensing image change captioning (RSICC) is a novel task that aims to describe the
differences between bitemporal images by natural language. Previous methods ignore a …
differences between bitemporal images by natural language. Previous methods ignore a …
Scalable multi-temporal remote sensing change data generation via simulating stochastic change process
Understanding the temporal dynamics of Earth's surface is a mission of multi-temporal
remote sensing image analysis, significantly promoted by deep vision models with its fuel …
remote sensing image analysis, significantly promoted by deep vision models with its fuel …