Liangpei Zhang

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Professor at Institute of Remote Sensing and Digital Earth since 2007, Director or Hyperspectral Remote Sensing Laboratory since 2007, CSIRO- Hyperspectral Remote Sensing applications on mineral exploration. at CSIRO Australia 2011, Postdoctoral at Peking University 2005-2007.

Featured Co-authors

Dacheng Tao
293 publications
Wei Liu
267 publications
Jiebo Luo
145 publications
Philip H. S. Torr
134 publications
Jie Li
116 publications
Chao Li
92 publications
Fan Zhang
83 publications
Xiang Bai
81 publications
Di Wang
69 publications
Serge Belongie
65 publications
Xiao Xiang Zhu
53 publications

Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification

In this paper, we propose a spectral-spatial graph reasoning network (SS...
06/26/2021 ∙ by Di Wang, et al. ∙ 0 ∙ share

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A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification

Deep learning techniques have been widely applied to hyperspectral image...
05/29/2021 ∙ by Qiqi Zhu, et al. ∙ 19 ∙ share

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Robust Self-Ensembling Network for Hyperspectral Image Classification

Recent research has shown the great potential of deep learning algorithm...
04/08/2021 ∙ by Yonghao Xu, et al. ∙ 0 ∙ share

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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...
03/02/2021 ∙ by Chen Wu, et al. ∙ 1 ∙ share

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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-...
02/27/2021 ∙ by Mengxi Liu, et al. ∙ 19 ∙ share

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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

In the past decade, object detection has achieved significant progress i...
02/24/2021 ∙ by Jian Ding, et al. ∙ 5 ∙ share

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Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution

Hyperspectral images are crucial for many research works. Spectral super...
11/19/2020 ∙ by Jiang He, et al. ∙ 5 ∙ share

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FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

Deep learning techniques have provided significant improvements in hyper...
11/11/2020 ∙ by Zhuo Zheng, et al. ∙ 10 ∙ share

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Hyperspectral Anomaly Change Detection Based on Auto-encoder

With the hyperspectral imaging technology, hyperspectral data provides a...
10/27/2020 ∙ by Meiqi Hu, et al. ∙ 20 ∙ share

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Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

Non-local low-rank tensor approximation has been developed as a state-of...
10/24/2020 ∙ by Wei He, et al. ∙ 0 ∙ share

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

Current hyperspectral image classification assumes that a predefined cla...
09/08/2020 ∙ by Shengjie Liu, et al. ∙ 24 ∙ share

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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...
06/26/2020 ∙ by Chen Wu, et al. ∙ 4 ∙ share

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DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation

The past decade has witnessed great progress on remote sensing (RS) imag...
06/22/2020 ∙ by Yang Long, et al. ∙ 0 ∙ share

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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...
06/16/2020 ∙ by Hongruixuan Chen, et al. ∙ 5 ∙ share

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Holistically-Attracted Wireframe Parsing

This paper presents a fast and parsimonious parsing method to accurately...
03/03/2020 ∙ by Nan Xue, et al. ∙ 4 ∙ share

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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...
12/18/2019 ∙ by Chen Wu, et al. ∙ 28 ∙ share

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Learning Regional Attraction for Line Segment Detection

This paper presents regional attraction of line segment maps, and hereby...
12/18/2019 ∙ by Nan Xue, et al. ∙ 9 ∙ share

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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...
06/27/2019 ∙ by Hongruixuan Chen, et al. ∙ 6 ∙ share

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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...
04/14/2019 ∙ by Bo Du, et al. ∙ 10 ∙ share

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Exploring Representativeness and Informativeness for Active Learning

How can we find a general way to choose the most suitable samples for tr...
04/14/2019 ∙ by Bo Du, et al. ∙ 0 ∙ share

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

The past few decades have witnessed the great progress of unmanned aircr...
12/19/2018 ∙ by Tian-Zhu Xiang, et al. ∙ 16 ∙ share

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Learning Attraction Field Representation for Robust Line Segment Detection

This paper presents a region-partition based attraction field dual repre...
12/05/2018 ∙ by Nan Xue, et al. ∙ 12 ∙ share

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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...
12/03/2018 ∙ by Bo Du, et al. ∙ 0 ∙ share

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Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network

The existence of hybrid noise in hyperspectral images (HSIs) severely de...
10/01/2018 ∙ by Qiang Zhang, et al. ∙ 0 ∙ share

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Oblique Stripe Removal in Remote Sensing Images via Oriented Variation

Destriping is a classical problem in remote sensing image processing. Al...
09/06/2018 ∙ by Xinxin Liu, et al. ∙ 2 ∙ share

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Spatial-Spectral Fusion by Combining Deep Learning and Variation Model

In the field of spatial-spectral fusion, the model-based method and the ...
09/04/2018 ∙ by Huanfeng Shen, et al. ∙ 0 ∙ share

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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 ...
07/16/2018 ∙ by Xin-Yi Tong, et al. ∙ 8 ∙ share

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Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency

This paper aims to address the problem of detecting buildings from remot...
06/04/2018 ∙ by Jin Huang, et al. ∙ 0 ∙ share

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

Many significant applications need land cover information of remote sens...
06/04/2018 ∙ by Xin-Yi Tong, et al. ∙ 0 ∙ share

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Recent advances and opportunities in scene classification of aerial images with deep models

Scene classification is a fundamental task in interpretation of remote s...
06/04/2018 ∙ by Fan Hu, et al. ∙ 0 ∙ share

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

Aerial image scene classification is a fundamental problem for understan...
06/03/2018 ∙ by Pu Jin, et al. ∙ 0 ∙ share

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

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
06/01/2018 ∙ by Qiangqiang Yuan, et al. ∙ 0 ∙ share

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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...
04/25/2018 ∙ by Bo Du, et al. ∙ 0 ∙ share

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Learning the Synthesizability of Dynamic Texture Samples

A dynamic texture (DT) refers to a sequence of images that exhibit tempo...
02/03/2018 ∙ by Feng Yang, et al. ∙ 0 ∙ share

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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...
12/28/2017 ∙ by Qiangqiang Yuan, et al. ∙ 0 ∙ share

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

Object detection is an important and challenging problem in computer vis...
11/28/2017 ∙ by Gui-Song Xia, et al. ∙ 0 ∙ share

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Deep learning in remote sensing: a review

Standing at the paradigm shift towards data-intensive science, machine l...
10/11/2017 ∙ by Xiao Xiang Zhu, et al. ∙ 0 ∙ share

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Learning a Dilated Residual Network for SAR Image Despeckling

In this letter, to break the limit of the traditional linear models for ...
09/09/2017 ∙ by Qiang Zhang, et al. ∙ 0 ∙ share

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

Remote sensing (RS) image retrieval based on visual content is of great ...
07/23/2017 ∙ by Gui-Song Xia, et al. ∙ 0 ∙ share

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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...
05/22/2017 ∙ by Yancong Wei, et al. ∙ 0 ∙ share

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Anisotropic-Scale Junction Detection and Matching for Indoor Images

Junctions play an important role in the characterization of local geomet...
03/16/2017 ∙ by Nan Xue, et al. ∙ 0 ∙ share

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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 ...
02/26/2017 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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

Low-textured image stitching remains a challenging problem. It is diffic...
02/25/2017 ∙ by Tian-Zhu Xiang, et al. ∙ 0 ∙ share

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A Spatial and Temporal Non-Local Filter Based Data Fusion

The trade-off in remote sensing instruments that balances the spatial re...
11/22/2016 ∙ by Qing Cheng, et al. ∙ 0 ∙ share

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AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

Aerial scene classification, which aims to automatically label an aerial...
08/18/2016 ∙ by Gui-Song Xia, et al. ∙ 0 ∙ share

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Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1...
06/17/2016 ∙ by Zhiwei Li, et al. ∙ 0 ∙ share

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Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery

Scene classification is a key problem in the interpretation of high-reso...
02/04/2015 ∙ by Jingwen Hu, et al. ∙ 0 ∙ share

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