DLR

∙ Cologne , Germany ∙ 0 followers

The German Aerospace Center, abbreviated DLR, is the national center for aerospace, energy and transportation research of Germany.

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...
01/23/2019 ∙ by Xin Wu, et al. ∙ 24 ∙ 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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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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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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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

In this paper, we propose an efficient and effective framework to fuse h...
02/04/2020 ∙ by Renlong Hang, et al. ∙ 15 ∙ 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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HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

Deep learning-based coastline detection algorithms have begun to outshin...
03/02/2021 ∙ by Konrad Heidler, et al. ∙ 12 ∙ share

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Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies

Understanding and representing traffic patterns are key to detecting ano...
07/04/2021 ∙ by Sandeep Kumar Singh, et al. ∙ 12 ∙ share

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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

By considering the spectral signature as a sequence, recurrent neural ne...
02/28/2019 ∙ by Renlong Hang, et al. ∙ 10 ∙ 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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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...
02/04/2019 ∙ by Martin Sundermeyer, et al. ∙ 8 ∙ share

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Cross-Task Transfer for Multimodal Aerial Scene Recognition

Aerial scene recognition is a fundamental task in remote sensing and has...
05/18/2020 ∙ by Di Hu, et al. ∙ 8 ∙ 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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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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End-to-End Saliency Mapping via Probability Distribution Prediction

Most saliency estimation methods aim to explicitly model low-level consp...
04/05/2018 ∙ by Saumya Jetley, et al. ∙ 2 ∙ 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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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...
07/24/2019 ∙ by Günther Waxenegger-Wilfing, et al. ∙ 2 ∙ 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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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...
09/11/2017 ∙ by Luca Crociani, 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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Virtual Worlds as Proxy for Multi-Object Tracking Analysis

Modern computer vision algorithms typically require expensive data acqui...
05/20/2016 ∙ by Adrien Gaidon, 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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Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks

We propose an inverse reinforcement learning (IRL) approach using Deep Q...
12/12/2016 ∙ by Sahand Sharifzadeh, et al. ∙ 0 ∙ share

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Learning Sequence Neighbourhood Metrics

Recurrent neural networks (RNNs) in combination with a pooling operator ...
09/09/2011 ∙ by Justin Bayer, et al. ∙ 0 ∙ share

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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...
12/05/2016 ∙ by Dimitrios Marmanis, et al. ∙ 0 ∙ share

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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...
08/25/2016 ∙ by César Roberto de Souza, et al. ∙ 0 ∙ share

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Authorship Analysis based on Data Compression

This paper proposes to perform authorship analysis using the Fast Compre...
02/14/2014 ∙ by Daniele Cerra, et al. ∙ 0 ∙ share

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Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation

Existing methods for sparse channel estimation typically provide an esti...
04/03/2012 ∙ by Niels Lovmand Pedersen, et al. ∙ 0 ∙ share

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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...
08/22/2011 ∙ by Niels Lovmand Pedersen, et al. ∙ 0 ∙ share

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Probabilistic Search for Object Segmentation and Recognition

The problem of searching for a model-based scene interpretation is analy...
08/05/2002 ∙ by Ulrich Hillenbrand, et al. ∙ 0 ∙ share

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On Decoding Schemes for the MDPC-McEliece Cryptosystem

Recently, it has been shown how McEliece public-key cryptosystems based ...
01/17/2018 ∙ by Hannes Bartz, et al. ∙ 0 ∙ share

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Protograph-based Quasi-Cyclic MDPC Codes for McEliece Cryptosystems

In this paper, ensembles of quasi-cyclic moderate-density parity-check (...
01/23/2018 ∙ by Gianluigi Liva, 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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Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks

Remote sensing is extensively used in cartography. As transportation net...
02/05/2018 ∙ by Corentin Henry, et al. ∙ 0 ∙ share

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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...
02/15/2018 ∙ by Thomas Jerkovits, 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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Finite Length Analysis of Irregular Repetition Slotted ALOHA in the Waterfall Region

A finite length analysis is introduced for irregular repetition slotted ...
03/04/2018 ∙ by Alexandre Graell i Amat, 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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Policy Search in Continuous Action Domains: an Overview

Continuous action policy search, the search for efficient policies in co...
03/13/2018 ∙ by Olivier Sigaud, 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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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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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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Caching at the Edge with Fountain Codes

We address the use of linear randon fountain codes caching schemes in a ...
07/15/2018 ∙ by Estefania Recayte, et al. ∙ 0 ∙ share

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Passive Compliance Control of Aerial Manipulators

This paper presents a passive compliance control for aerial manipulators...
08/09/2018 ∙ by Min Jun Kim, et al. ∙ 0 ∙ share

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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...
08/15/2018 ∙ by Danfeng Hong, et al. ∙ 0 ∙ 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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Robust, Expressive, and Quantitative Linear Temporal Logics

Linear Temporal Logic (LTL) is the standard specification language for r...
08/27/2018 ∙ by Daniel Neider, et al. ∙ 0 ∙ share

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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 ...
09/05/2018 ∙ by Francisco Lázaro, et al. ∙ 0 ∙ share

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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...
10/02/2018 ∙ by Young-Hee Lee, et al. ∙ 0 ∙ share

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Caching in Heterogeneous Networks with Per-File Rate Constraints

We study the problem of caching optimization in heterogeneous networks w...
10/15/2018 ∙ by Estefania Recayte, et al. ∙ 0 ∙ share

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