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02/20/2023
EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union
EuroCrops contains geo-referenced polygons of agricultural croplands fro...
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09/19/2022
Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data
Expansive, informative datasets are vital in providing foundations and p...
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06/14/2021
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
We present EuroCrops, a dataset based on self-declared field annotations...
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11/23/2020
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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04/28/2020
Meta-Learning for Few-Shot Land Cover Classification
The representations of the Earth's surface vary from one geographic regi...
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04/06/2020
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
City models and height maps of urban areas serve as a valuable data sour...
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10/23/2019
Self-Attention for Raw Optical Satellite Time Series Classification
Deep learning methods have received increasing interest by the remote se...
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09/24/2019
Enhancing Traffic Scene Predictions with Generative Adversarial Networks
We present a new two-stage pipeline for predicting frames of traffic sce...
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08/27/2019
Early Classification for Agricultural Monitoring from Satellite Time Series
In this work, we introduce a recently developed early classification mec...
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07/25/2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
We introduce MultiDepth, a novel training strategy and convolutional neu...
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05/28/2019
BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification
This dataset challenges the time series community with the task of satel...
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04/22/2019
Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN
We present the workflow of a DSM refinement methodology using a Hybrid-c...
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03/08/2019
DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs
We describe the workflow of a digital surface models (DSMs) refinement a...
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01/30/2019
End-to-end Learning for Early Classification of Time Series
Classification of time series is a topical issue in machine learning. Wh...
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10/28/2018
Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery
Dynamic spatiotemporal processes on the Earth can be observed by an incr...
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10/02/2018
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing Autoencoder GANs
We propose a new Autoencoder GAN model, FutureGAN, that predicts future ...
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07/07/2018
Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery
Automatic multi-class object detection in remote sensing images in uncon...
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05/16/2018
Auxiliary Tasks in Multi-task Learning
Multi-task convolutional neural networks (CNNs) have shown impressive re...
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05/03/2018
Evaluation of CNN-based Single-Image Depth Estimation Methods
While an increasing interest in deep models for single-image depth estim...
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03/19/2018
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks
The knowledge about the placement and appearance of lane markings is a p...
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02/25/2018
Building Instance Classification Using Street View Images
Land-use classification based on spaceborne or aerial remote sensing ima...
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02/06/2018