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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
With the rapid development of spaceborne imaging techniques, object dete...
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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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CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
With a large amount of open satellite multispectral imagery (e.g., Senti...
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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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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
In this paper, we propose an efficient and effective framework to fuse h...
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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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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
By considering the spectral signature as a sequence, recurrent neural ne...
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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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Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
We propose a real-time RGB-based pipeline for object detection and 6D po...
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Cross-Task Transfer for Multimodal Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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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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End-to-End Saliency Mapping via Probability Distribution Prediction
Most saliency estimation methods aim to explicitly model low-level consp...
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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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Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks
Methane is considered being a good choice as a propellant for future reu...
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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...
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Cellular Automaton Based Simulation of Large Pedestrian Facilities - A Case Study on the Staten Island Ferry Terminals
Current metropolises largely depend on a functioning transport infrastru...
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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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Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Modern computer vision algorithms typically require expensive data acqui...
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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 ...
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Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks
We propose an inverse reinforcement learning (IRL) approach using Deep Q...
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Learning Sequence Neighbourhood Metrics
Recurrent neural networks (RNNs) in combination with a pooling operator ...
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Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
We present an end-to-end trainable deep convolutional neural network (DC...
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Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
Action recognition in videos is a challenging task due to the complexity...
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Authorship Analysis based on Data Compression
This paper proposes to perform authorship analysis using the Fast Compre...
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Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
Existing methods for sparse channel estimation typically provide an esti...
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Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have b...
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Probabilistic Search for Object Segmentation and Recognition
The problem of searching for a model-based scene interpretation is analy...
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On Decoding Schemes for the MDPC-McEliece Cryptosystem
Recently, it has been shown how McEliece public-key cryptosystems based ...
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Protograph-based Quasi-Cyclic MDPC Codes for McEliece Cryptosystems
In this paper, ensembles of quasi-cyclic moderate-density parity-check (...
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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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Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks
Remote sensing is extensively used in cartography. As transportation net...
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Improving the Decoding Threshold of Tailbiting Spatially Coupled LDPC Codes by Energy Shaping
We show how the iterative decoding threshold of tailbiting spatially cou...
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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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Finite Length Analysis of Irregular Repetition Slotted ALOHA in the Waterfall Region
A finite length analysis is introduced for irregular repetition slotted ...
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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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Policy Search in Continuous Action Domains: an Overview
Continuous action policy search, the search for efficient policies in co...
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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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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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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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Caching at the Edge with Fountain Codes
We address the use of linear randon fountain codes caching schemes in a ...
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Passive Compliance Control of Aerial Manipulators
This paper presents a passive compliance control for aerial manipulators...
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Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Despite the fact that nonlinear subspace learning techniques (e.g. manif...
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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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Robust, Expressive, and Quantitative Linear Temporal Logics
Linear Temporal Logic (LTL) is the standard specification language for r...
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Bounds on the Error Probability of Raptor Codes under Maximum Likelihood Decoding
In this paper upper bounds on the probability of decoding failure under ...
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Fusion of Monocular Vision and Radio-based Ranging for Global Scale Estimation and Drift Mitigation
Monocular vision-based Simultaneous Localization and Mapping (SLAM) is u...
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Caching in Heterogeneous Networks with Per-File Rate Constraints
We study the problem of caching optimization in heterogeneous networks w...
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Caching at the Edge with LT codes
We study the performance of caching schemes based on LT under peeling (i...
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TiGL - An Open Source Computational Geometry Library for Parametric Aircraft Design
This paper introduces the software TiGL: TiGL is an open source high-fid...
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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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