Xiao Xiang Zhu

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Semantic Segmentation of Remote Sensing Images with Sparse Annotations

Training Convolutional Neural Networks (CNNs) for very high resolution i...
01/10/2021 ∙ by Yuansheng Hua, et al. ∙ 8 ∙ share

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Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding

Semantic segmentation of raw 3D point clouds is an essential component i...
11/29/2020 ∙ by Saqib Ali Khan, et al. ∙ 0 ∙ share

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Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification

Human Settlement Extent (HSE) and Local Climate Zone (LCZ) maps are both...
11/23/2020 ∙ by Chunping Qiu, et al. ∙ 0 ∙ share

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CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images

Object retrieval and reconstruction from very high resolution (VHR) synt...
11/17/2020 ∙ by Yao Sun, et al. ∙ 0 ∙ share

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A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning

We deal with the problem of generating textual captions from optical rem...
10/05/2020 ∙ by Ruchika Chavhan, et al. ∙ 0 ∙ share

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Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

Social media data can be a very salient source of information during cri...
08/27/2020 ∙ by Anna Kruspe, et al. ∙ 0 ∙ share

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Generative Adversarial Networks for Synthesizing InSAR Patches

Generative Adversarial Networks (GANs) have been employed with certain s...
08/03/2020 ∙ by Philipp Sibler, et al. ∙ 0 ∙ share

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Spatial-Spectral Manifold Embedding of Hyperspectral Data

In recent years, hyperspectral imaging, also known as imaging spectrosco...
07/17/2020 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data

This paper addresses the problem of semi-supervised transfer learning wi...
06/24/2020 ∙ by Danfeng Hong, et al. ∙ 0 ∙ 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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Deep Learning Meets SAR

Deep learning in remote sensing has become an international hype, but it...
06/17/2020 ∙ by Xiao Xiang Zhu, et al. ∙ 0 ∙ share

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Instance segmentation of buildings using keypoints

Building segmentation is of great importance in the task of remote sensi...
06/06/2020 ∙ by Qingyu Li, et al. ∙ 0 ∙ share

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Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset

As a unique classification scheme for urban forms and functions, the loc...
05/16/2020 ∙ by Chunping Qiu, et al. ∙ 10 ∙ share

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Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions

Visual crowd counting has been recently studied as a way to enable peopl...
05/14/2020 ∙ by Di Hu, et al. ∙ 0 ∙ share

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SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms

Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
03/17/2020 ∙ by Yilei Shi, et al. ∙ 0 ∙ share

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Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping – Challenges and Opportunities

Fully automatic large-scale land cover mapping belongs to the core chall...
02/19/2020 ∙ by Michael Schmitt, et al. ∙ 0 ∙ share

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Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)

Building footprint maps are vital to many remote sensing applications, s...
02/11/2020 ∙ by Qingyu Li, et al. ∙ 0 ∙ share

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ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Along with the increasing use of unmanned aerial vehicles (UAVs), large ...
01/30/2020 ∙ by Lichao Mou, et al. ∙ 16 ∙ share

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So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Access to labeled reference data is one of the grand challenges in super...
12/19/2019 ∙ by Xiao Xiang Zhu, et al. ∙ 0 ∙ share

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Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Up to the present, an enormous number of advanced techniques have been d...
12/18/2019 ∙ by Danfeng Hong, et al. ∙ 22 ∙ share

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Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data

Due to the ever-growing diversity of the data source, multi-modality fea...
12/18/2019 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding

Automatic building extraction from optical imagery remains a challenge d...
11/08/2019 ∙ by Yilei Shi, et al. ∙ 47 ∙ share

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A Review of Point Cloud Semantic Segmentation

3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing int...
08/23/2019 ∙ by Yuxing Xie, et al. ∙ 14 ∙ share

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Relation Network for Multi-label Aerial Image Classification

Multi-label classification plays a momentous role in perceiving intricat...
07/16/2019 ∙ by Yuansheng Hua, et al. ∙ 0 ∙ share

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SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

The availability of curated large-scale training data is a crucial facto...
06/18/2019 ∙ by Michael Schmitt, et al. ∙ 6 ∙ share

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MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

Multi-modal data fusion has recently been shown promise in classificatio...
06/13/2019 ∙ by Jingliang Hu, et al. ∙ 5 ∙ share

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Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones

This paper proposes a novel framework for fusing multi-temporal, multisp...
05/29/2019 ∙ by Guichen Zhang, et al. ∙ 0 ∙ share

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A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes

Most current semantic segmentation approaches fall back on deep convolut...
04/11/2019 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes

Most current semantic segmentation approaches fall back on deep convolut...
04/11/2019 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification

In this paper, we aim at tackling a general but interesting cross-modali...
01/09/2019 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

With a large amount of open satellite multispectral imagery (e.g., Senti...
12/30/2018 ∙ by Danfeng Hong, et al. ∙ 16 ∙ share

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Non-Local Compressive Sensing Based SAR Tomography

Tomographic SAR (TomoSAR) inversion of urban areas is an inherently spar...
11/05/2018 ∙ by Yilei Shi, et al. ∙ 0 ∙ share

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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Hyperspectral imagery collected from airborne or satellite sources inevi...
10/29/2018 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Building Footprint Generation Using Improved Generative Adversarial Networks

Building footprint information is an essential ingredient for 3-D recons...
10/26/2018 ∙ by Yilei Shi, et al. ∙ 0 ∙ share

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R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

Vehicle detection is a significant and challenging task in aerial remote...
08/16/2018 ∙ by Qingpeng Li, et al. ∙ 2 ∙ share

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Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

This paper addresses the highly challenging problem of automatically det...
08/14/2018 ∙ by Muhammad Shahzad, et al. ∙ 0 ∙ share

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Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification

Aerial image classification is of great significance in remote sensing c...
07/30/2018 ∙ by Yuansheng Hua, et al. ∙ 8 ∙ share

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The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion

While deep learning techniques have an increasing impact on many technic...
07/04/2018 ∙ by Michael Schmitt, et al. ∙ 0 ∙ share

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Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network

Object detection and semantic segmentation are two main themes in object...
05/26/2018 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images

Semantic segmentation in high resolution remote sensing images is a fund...
05/05/2018 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

Change detection is one of the central problems in earth observation and...
03/07/2018 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network

In this paper we tackle a very novel problem, namely height estimation f...
02/28/2018 ∙ by Lichao Mou, et al. ∙ 0 ∙ share

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Building Instance Classification Using Street View Images

Land-use classification based on spaceborne or aerial remote sensing ima...
02/25/2018 ∙ by Jian Kang, et al. ∙ 0 ∙ share

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Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN

In this letter, we propose a pseudo-siamese convolutional neural network...
01/25/2018 ∙ by Lloyd H. Hughes, 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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Xiao Xiang Zhu

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