Liangpei Zhang

research

∙ 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...

Yang Long, et al. ∙

research

∙ 12/15/2021

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Deep neural networks (DNNs) have greatly contributed to the performance ...

Yonghao Xu, et al. ∙

research

∙ 12/09/2021

Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images

Targeting at depicting land covers with pixel-wise semantic categories, ...

Kunping Yang, et al. ∙

research

∙ 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...

Menghui Jiang, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

Gui-Song Xia, et al. ∙

research

∙ 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...

Zhuo Zheng, et al. ∙

research

∙ 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...

Huanfeng Shen, et al. ∙

research

∙ 06/26/2021

Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification

In this paper, we propose a spectral-spatial graph reasoning network (SS...

Di Wang, et al. ∙

research

∙ 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...

Qiqi Zhu, et al. ∙

research

∙ 04/08/2021

Robust Self-Ensembling Network for Hyperspectral Image Classification

Recent research has shown the great potential of deep learning algorithm...

Yonghao Xu, et al. ∙

research

∙ 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...

Chen Wu, et al. ∙

research

∙ 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-...

Mengxi Liu, et al. ∙

research

∙ 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...

Jian Ding, et al. ∙

research

∙ 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...

Jiang He, et al. ∙

research

∙ 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...

Zhuo Zheng, et al. ∙

research

∙ 10/27/2020

Hyperspectral Anomaly Change Detection Based on Auto-encoder

With the hyperspectral imaging technology, hyperspectral data provides a...

Meiqi Hu, et al. ∙

research

∙ 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...

Wei He, et al. ∙

research

∙ 09/08/2020

Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning

Current hyperspectral image classification assumes that a predefined cla...

Shengjie Liu, et al. ∙

research

∙ 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...

Chen Wu, et al. ∙

research

∙ 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...

Yang Long, et al. ∙

research

∙ 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...

Hongruixuan Chen, et al. ∙

research

∙ 03/03/2020

Holistically-Attracted Wireframe Parsing

This paper presents a fast and parsimonious parsing method to accurately...

Nan Xue, et al. ∙

research

∙ 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...

Chen Wu, et al. ∙

research

∙ 12/18/2019

Learning Regional Attraction for Line Segment Detection

This paper presents regional attraction of line segment maps, and hereby...

Nan Xue, et al. ∙

research

∙ 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...

Hongruixuan Chen, et al. ∙

research

∙ 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...

Bo Du, et al. ∙

research

∙ 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...

Bo Du, et al. ∙

research

∙ 12/19/2018

Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives

The past few decades have witnessed the great progress of unmanned aircr...

Tian-Zhu Xiang, et al. ∙

research

∙ 12/05/2018

Learning Attraction Field Representation for Robust Line Segment Detection

This paper presents a region-partition based attraction field dual repre...

Nan Xue, et al. ∙

research

∙ 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...

Bo Du, et al. ∙

research

∙ 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...

Qiang Zhang, et al. ∙

research

∙ 09/06/2018

Oblique Stripe Removal in Remote Sensing Images via Oriented Variation

Destriping is a classical problem in remote sensing image processing. Al...

Xinxin Liu, et al. ∙

research

∙ 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 ...

Huanfeng Shen, et al. ∙

research

∙ 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 ...

Xin-Yi Tong, et al. ∙

research

∙ 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...

Jin Huang, et al. ∙

research

∙ 06/04/2018

Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery

Many significant applications need land cover information of remote sens...

Xin-Yi Tong, et al. ∙

research

∙ 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...

Fan Hu, et al. ∙

research

∙ 06/03/2018

AID++: An Updated Version of AID on Scene Classification

Aerial image scene classification is a fundamental problem for understan...

Pu Jin, et al. ∙

research

∙ 06/01/2018

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...

Qiangqiang Yuan, et al. ∙

research

∙ 04/25/2018

Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker

Object tracking is a hot topic in computer vision. Thanks to the booming...

Bo Du, et al. ∙

research

∙ 02/03/2018

Learning the Synthesizability of Dynamic Texture Samples

A dynamic texture (DT) refers to a sequence of images that exhibit tempo...

Feng Yang, et al. ∙

research

∙ 12/28/2017

A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

Pan-sharpening is a fundamental and significant task in the field of rem...

Qiangqiang Yuan, et al. ∙

research

∙ 11/28/2017

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Object detection is an important and challenging problem in computer vis...

Gui-Song Xia, et al. ∙

research

∙ 10/11/2017

Deep learning in remote sensing: a review

Standing at the paradigm shift towards data-intensive science, machine l...

Xiao Xiang Zhu, et al. ∙

research

∙ 09/09/2017

Learning a Dilated Residual Network for SAR Image Despeckling

In this letter, to break the limit of the traditional linear models for ...

Qiang Zhang, et al. ∙

research

∙ 07/23/2017

Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation

Remote sensing (RS) image retrieval based on visual content is of great ...

Gui-Song Xia, et al. ∙

research

∙ 05/22/2017

Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network

In the field of fusing multi-spectral and panchromatic images (Pan-sharp...

Yancong Wei, et al. ∙

research

∙ 03/16/2017

Anisotropic-Scale Junction Detection and Matching for Indoor Images

Junctions play an important role in the characterization of local geomet...

Nan Xue, et al. ∙

research

∙ 02/26/2017

A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data

Mega-city analysis with very high resolution (VHR) satellite images has ...

Fan Zhang, et al. ∙

research

∙ 02/25/2017

Image Stitching by Line-guided Local Warping with Global Similarity Constraint

Low-textured image stitching remains a challenging problem. It is diffic...

Tian-Zhu Xiang, et al. ∙

Liangpei Zhang

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