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Underwater Image Super-Resolution via Dual-aware Integrated Network

Applied sciences, 2023-12, Vol.13 (24), p.12985

2023

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Multiple Feature Learning Based on Edge-Preserving Features for Hyperspectral Image Classification

IEEE access, 2019, Vol.7, p.106861-106872

2019

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Bidirectional-enhanced transformer network with channel weighting feature fusion for remote sensing image change detection

Journal of applied remote sensing, 2024-10, Vol.18 (4)

2024

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Frequency-driven transformer network for remote sensing image change detection

Journal of applied remote sensing, 2024-09, Vol.18 (3)

2024

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Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

KSII Transactions on Internet and Information Systems, 2018, 12(4), , pp.1714-1729

2018

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Unsupervised change detection based on robust chi-squared transform for bitemporal remotely sensed images

International journal of remote sensing, 2014-11, Vol.35 (21), p.7555-7566

2014

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Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

KSII transactions on Internet and information systems, 2018-04, Vol.12 (4), p.1714-1729

2018

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Multilevel Feature Fusion Networks With Adaptive Channel Dimensionality Reduction for Remote Sensing Scene Classification

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Change detection of bitemporal multispectral images based on teacher student model

Journal of applied remote sensing, 2020-08, Vol.14 (3), p.1

2020

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Guided filter-based self-supervised remote sensing image change detection with global contrast

Journal of applied remote sensing, 2024-06, Vol.18 (2)

2024

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Self-supervised remote sensing image change detection based on high frequency feature and gate attention-guided optimization unit

Journal of applied remote sensing, 2023-04, Vol.17 (2)

2023

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A lightweight skip-connected expansion inception network for remote sensing scene classification

Remote sensing letters, 2023-10, Vol.14 (10), p.1098-1108

2023

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High-resolution remote sensing images semantic segmentation using improved UNet and SegNet

Computers & electrical engineering, 2023-05, Vol.108, p.108734, Article 108734

2023

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A context-aware and channel re-weighting network for remote sensing scene classification

Remote sensing letters, 2023-07, Vol.14 (7), p.703-712

2023

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Dropout-Based Adversarial Training Networks for Remote Sensing Scene Classification

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Multi-attention aggregation network for remote sensing scene classification

Journal of applied remote sensing, 2023-10, Vol.17 (4)

2023

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Improved density peaks clustering based on firefly algorithm

International journal of bio-inspired computation, 2020, Vol.15 (1), p.24

2020

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Image Semantic Recognition and Segmentation Algorithm of Colorimetric Sensor Array Based on Deep Convolutional Neural Network

Computational intelligence and neuroscience, 2022-09, Vol.2022, p.1-16

2022

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Density Peak Clustering Based on Cumulative Nearest Neighbors Degree and Micro Cluster Merging

Journal of signal processing systems, 2019-10, Vol.91 (10), p.1219-1236

2019

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Change detection of bitemporal multispectral images based on FCM and D-S theory

EURASIP journal on advances in signal processing, 2016-09, Vol.2016 (1), p.1-12, Article 96

2016

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Improved density peaks clustering based on firefly algorithm

International journal of bio-inspired computation, 2020, Vol.15 (1), p.24

2020

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Integration of heterogeneous features for remote sensing scene classification

Journal of applied remote sensing, 2018-03, Vol.12 (1), p.1

2018

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A kernel-based block matrix decomposition approach for the classification of remotely sensed images

Applied mathematics and computation, 2014-02, Vol.228, p.531-545

2014

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Robust super-resolution using kernel regression with outliers-reduction scheme

Scientific research and essays, 2011-09, Vol.6 (18), p.3834-3844

2011

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Segmentation of high-resolution remote sensing image combining phase congruency with local homogeneity

Arabian journal of geosciences, 2019-03, Vol.12 (6), p.1-11, Article 195

2019

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Underwater Image Super-Resolution via Dual-aware Integrated Network

Multiple Feature Learning Based on Edge-Preserving Features for Hyperspectral Image Classification

Bidirectional-enhanced transformer network with channel weighting feature fusion for remote sensing image change detection

Frequency-driven transformer network for remote sensing image change detection

Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

Unsupervised change detection based on robust chi-squared transform for bitemporal remotely sensed images

Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

Multilevel Feature Fusion Networks With Adaptive Channel Dimensionality Reduction for Remote Sensing Scene Classification

Change detection of bitemporal multispectral images based on teacher student model

Guided filter-based self-supervised remote sensing image change detection with global contrast

Self-supervised remote sensing image change detection based on high frequency feature and gate attention-guided optimization unit

A lightweight skip-connected expansion inception network for remote sensing scene classification

High-resolution remote sensing images semantic segmentation using improved UNet and SegNet

A context-aware and channel re-weighting network for remote sensing scene classification

Dropout-Based Adversarial Training Networks for Remote Sensing Scene Classification

Multi-attention aggregation network for remote sensing scene classification

Improved density peaks clustering based on firefly algorithm

Image Semantic Recognition and Segmentation Algorithm of Colorimetric Sensor Array Based on Deep Convolutional Neural Network

Density Peak Clustering Based on Cumulative Nearest Neighbors Degree and Micro Cluster Merging

Change detection of bitemporal multispectral images based on FCM and D-S theory

Improved density peaks clustering based on firefly algorithm

Integration of heterogeneous features for remote sensing scene classification

A kernel-based block matrix decomposition approach for the classification of remotely sensed images

Robust super-resolution using kernel regression with outliers-reduction scheme

Segmentation of high-resolution remote sensing image combining phase congruency with local homogeneity

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