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08/28/2023
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
Change detection (CD) is a fundamental and important task for monitoring...
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07/23/2023
Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction
Buildings are the basic carrier of social production and human life; roa...
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07/23/2023
Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision
The efficacy of building footprint segmentation from remotely sensed ima...
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07/23/2023
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
Change detection (CD) is an important yet challenging task in the Earth ...
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04/23/2023
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Recent neural architecture search (NAS) based approaches have made great...
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04/22/2023
An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea
Wearing face mask is an effective measure to reduce the risk of COVID-19...
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04/18/2023
GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection
High spectral resolution imagery of the Earth's surface enables users to...
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04/10/2023
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Optical-flow-based and kernel-based approaches have been widely explored...
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03/22/2023
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
Hyperspectral anomaly detection (HAD) involves identifying the targets t...
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03/12/2023
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration
Diffusion models have recently received a surge of interest due to their...
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10/24/2022
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...
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01/06/2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling
Given an aerial image, aerial scene parsing (ASP) targets to interpret t...
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12/15/2021
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Deep neural networks (DNNs) have greatly contributed to the performance ...
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12/09/2021
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images
Targeting at depicting land covers with pixel-wise semantic categories, ...
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09/01/2021
An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images
Image fusion technology is widely used to fuse the complementary informa...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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08/16/2021
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
For high spatial resolution (HSR) remote sensing images, bitemporal supe...
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08/13/2021
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion
In the fields of image restoration and image fusion, model-driven method...
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06/26/2021
Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification
In this paper, we propose a spectral-spatial graph reasoning network (SS...
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05/29/2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Deep learning techniques have been widely applied to hyperspectral image...
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04/08/2021
Robust Self-Ensembling Network for Hyperspectral Image Classification
Recent research has shown the great potential of deep learning algorithm...
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03/02/2021
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
As the COVID-19 epidemic began to worsen in the first months of 2020, st...
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02/27/2021
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
Change detection, which aims to distinguish surface changes based on bi-...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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11/19/2020
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Hyperspectral images are crucial for many research works. Spectral super...
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11/11/2020
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Deep learning techniques have provided significant improvements in hyper...
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10/27/2020
Hyperspectral Anomaly Change Detection Based on Auto-encoder
With the hyperspectral imaging technology, hyperspectral data provides a...
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10/24/2020
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Non-local low-rank tensor approximation has been developed as a state-of...
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09/08/2020
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Current hyperspectral image classification assumes that a predefined cla...
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06/26/2020
A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery
Wuhan, the biggest city in China's central region with a population of m...
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06/22/2020
DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation
The past decade has witnessed great progress on remote sensing (RS) imag...
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06/16/2020
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection
Change detection (CD) is one of the most vital applications in remote se...
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03/03/2020
Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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12/18/2019
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
With the development of Earth observation technology, very-high-resoluti...
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12/18/2019
Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
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06/27/2019
Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
Very high resolution (VHR) images provide abundant ground details and sp...
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04/14/2019
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion
Multi-label learning draws great interests in many real world applicatio...
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04/14/2019
Exploring Representativeness and Informativeness for Active Learning
How can we find a general way to choose the most suitable samples for tr...
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12/19/2018
Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
The past few decades have witnessed the great progress of unmanned aircr...
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12/05/2018
Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
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12/03/2018
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Change detection has been a hotspot in remote sensing technology for a l...
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10/01/2018
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
The existence of hybrid noise in hyperspectral images (HSIs) severely de...
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09/06/2018
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation
Destriping is a classical problem in remote sensing image processing. Al...
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09/04/2018
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model
In the field of spatial-spectral fusion, the model-based method and the ...
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07/16/2018
Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images
In recent years, large amount of high spatial-resolution remote sensing ...
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06/04/2018
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
This paper aims to address the problem of detecting buildings from remot...
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06/04/2018
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
Many significant applications need land cover information of remote sens...
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06/04/2018
Recent advances and opportunities in scene classification of aerial images with deep models
Scene classification is a fundamental task in interpretation of remote s...
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06/03/2018
AID++: An Updated Version of AID on Scene Classification
Aerial image scene classification is a fundamental problem for understan...
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06/01/2018