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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3187108
Abstract: Synthetic aperture radar (SAR) image change detection is still a challenge due to inherent speckle noise and scarce datasets. This article proposes a joint-related dictionary learning algorithm based on the k-singular value decomposition (K-SVD) algorithm…
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Keywords:
change detection;
change;
sar image;
image change ... See more keywords
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1
Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3217038
Abstract: In modern remote sensing image change detection (CD), convolution neural network (CNN), especially U-shaped structure (UNet), has achieved great success due to their powerful discriminative ability. However, UNet-based CNN networks usually have limitations in modeling…
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Keywords:
change detection;
remote sensing;
cnn;
image change ... See more keywords
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1
Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2915251
Abstract: The log-ratio (LR) operator has been widely employed to generate the difference image for synthetic aperture radar (SAR) image change detection. However, the difference image generated by this pixelwise operator can be subject to SAR…
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Keywords:
sar images;
change detection;
spatial metric;
image change ... See more keywords
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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3224454
Abstract: This letter presents a novel graph-driven synthetic aperture radar (SAR) image change detection approach. A hierarchical heterogeneous graph (HHG) is proposed, combining two distinct graphs: a weighted graph based on adjacency of superpixels of an…
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Keywords:
change detection;
heterogeneous graph;
sar image;
graph ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3234972
Abstract: Recently, synthetic aperture radar (SAR) image change detection has become an interesting yet challenging direction due to the presence of speckle noise. Although both traditional and modern learning-driven methods attempted to overcome this challenge, deep…
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Keywords:
change detection;
scattering network;
sar image;
image change ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3266091
Abstract: Hyperspectral image change detection (HSI-CD) is one of the main research topics in remote sensing. Theoretically, the ground objects can be considered to have changed when their spectral features behave differently. However, in practical scenarios,…
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Keywords:
change detection;
hyperspectral image;
image change;
image ... See more keywords
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3
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3266891
Abstract: Synthetic aperture radar (SAR) image change detection is a hot but challenging task due to SAR images’ complex contents and inherent speckle noises. The expected change detection methods should reduce the influence of speckle noises,…
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Keywords:
information;
change detection;
change;
sar image ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3176055
Abstract: The neural network-based remote sensing image change detection method faces a large amount of imaging interference and severe class imbalance problems under high-resolution conditions, which bring new challenges to the accuracy of the detection network.…
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Keywords:
change detection;
remote sensing;
self attention;
detection ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3174276
Abstract: Deep learning has substantially pushed forward remote sensing image change detection through extracting discriminative hierarchical features. However, as the increasingly high-resolution remote sensing images have abundant spatial details but limited spectral information, the use of…
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Keywords:
change detection;
remote sensing;
change;
isnet ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3203075
Abstract: Convolutional neural networks (CNNs) with excellent spatial feature extraction abilities have become popular in remote sensing (RS) image change detection (CD). However, CNNs often focus on the extraction of spatial information but ignore important spectral…
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Keywords:
change detection;
spectral spatial;
image change;
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2
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3269892
Abstract: Hyperspectral image change detection (HSI-CD) is a challenging task that focuses on identifying the differences between multitemporal HSIs. The recent advancement of convolutional neural network (CNN) has made great progress on HSIs-CD. However, due to…
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Keywords:
information;
local information;
image change;
graph transformer ... See more keywords