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 …
Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …
Multiscale diff-changed feature fusion network for hyperspectral image change detection
For hyperspectral image (HSI) change detection (CD), multiscale features are usually used
to construct the detection models. However, the existing studies only consider the multiscale …
to construct the detection models. However, the existing studies only consider the multiscale …
CBANet: An end-to-end cross-band 2-D attention network for hyperspectral change detection in remote sensing
As a fundamental task in remote sensing (RS) observation of the earth, change detection
(CD) using hyperspectral images (HSI) features high accuracy due to the combination of the …
(CD) using hyperspectral images (HSI) features high accuracy due to the combination of the …
Lightweight remote sensing change detection with progressive feature aggregation and supervised attention
Remote sensing change detection (RSCD) aims to explore surface changes from co-
registered pair of images. However, the high cost of memory and computation in previous …
registered pair of images. However, the high cost of memory and computation in previous …
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement
Buildings are some of the basic spatial elements of a city. Changes in the spatial
distributions of buildings are of great significance for urban planning and monitoring illegal …
distributions of buildings are of great significance for urban planning and monitoring illegal …
A small ship object detection method for satellite remote sensing data
X Fan, Z Hu, Y Zhao, J Chen, T Wei… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Satellite remote sensing technology can achieve real-time observation of ships at sea, and
the remote sensing images obtained have the advantages of high contrast and low noise …
the remote sensing images obtained have the advantages of high contrast and low noise …
A review of multi-class change detection for satellite remote sensing imagery
Q Zhu, X Guo, Z Li, D Li - Geo-spatial Information Science, 2024 - Taylor & Francis
Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …
expansion and reconstruction as well as disaster assessment, by identifying the changes of …
Hierarchical attention feature fusion-based network for land cover change detection with homogeneous and heterogeneous remote sensing images
Deep learning techniques have become popular in land cover change detection (LCCD)
with remote sensing images (RSIs). However, many existing networks mostly concentrate on …
with remote sensing images (RSIs). However, many existing networks mostly concentrate on …
[HTML][HTML] Aerialformer: Multi-resolution transformer for aerial image segmentation
When performing remote sensing image segmentation, practitioners often encounter various
challenges, such as a strong imbalance in the foreground–background, the presence of tiny …
challenges, such as a strong imbalance in the foreground–background, the presence of tiny …