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Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Training Convolutional Neural Networks (CNNs) for very high resolution i...
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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...
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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...
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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...
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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...
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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...
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Generative Adversarial Networks for Synthesizing InSAR Patches
Generative Adversarial Networks (GANs) have been employed with certain s...
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Spatial-Spectral Manifold Embedding of Hyperspectral Data
In recent years, hyperspectral imaging, also known as imaging spectrosco...
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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...
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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...
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Deep Learning Meets SAR
Deep learning in remote sensing has become an international hype, but it...
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Instance segmentation of buildings using keypoints
Building segmentation is of great importance in the task of remote sensi...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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A Review of Point Cloud Semantic Segmentation
3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing int...
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Relation Network for Multi-label Aerial Image Classification
Multi-label classification plays a momentous role in perceiving intricat...
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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...
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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...
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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...
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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...
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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...
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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...
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CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
With a large amount of open satellite multispectral imagery (e.g., Senti...
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Non-Local Compressive Sensing Based SAR Tomography
Tomographic SAR (TomoSAR) inversion of urban areas is an inherently spar...
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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...
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Building Footprint Generation Using Improved Generative Adversarial Networks
Building footprint information is an essential ingredient for 3-D recons...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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Building Instance Classification Using Street View Images
Land-use classification based on spaceborne or aerial remote sensing ima...
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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...
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Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine l...
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