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05/24/2023
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower
Cauliflower is a hand-harvested crop that must fulfill high-quality stan...
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12/16/2022
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting
Climate change is expected to intensify and increase extreme events in t...
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12/05/2022
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
Antrophonegic pressure (i.e. human influence) on the environment is one ...
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10/24/2022
Exploring Self-Attention for Crop-type Classification Explainability
Automated crop-type classification using Sentinel-2 satellite time serie...
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04/01/2022
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
This article presents GrowliFlower, a georeferenced, image-based UAV tim...
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03/01/2022
Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery
Wilderness areas offer important ecological and social benefits, and the...
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01/08/2022
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
UAV-based image retrieval in modern agriculture enables gathering large ...
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09/15/2021
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks
The ability to predict the future movements of other vehicles is a subco...
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07/07/2021
A Survey of Uncertainty in Deep Neural Networks
Due to their increasing spread, confidence in neural network predictions...
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05/21/2021
Behind the leaves – Estimation of occluded grapevine berries with conditional generative adversarial networks
The need for accurate yield estimates for viticulture is becoming more i...
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05/17/2021
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks
Farmers frequently assess plant growth and performance as basis for maki...
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04/11/2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
In the last years we have witnessed the fields of geosciences and remote...
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04/07/2021
Artificial and beneficial – Exploiting artificial images for aerial vehicle detection
Object detection in aerial images is an important task in environmental,...
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04/29/2020
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
The extraction of phenotypic traits is often very time and labour intens...
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05/21/2019
Explainable Machine Learning for Scientific Insights and Discoveries
Machine learning methods have been remarkably successful for a wide rang...
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05/01/2019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Yield estimation and forecasting are of special interest in the field of...
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03/20/2018
Ocean Eddy Identification and Tracking using Neural Networks
Global climate change plays an essential role in our daily life and is n...
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02/08/2018
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification
The estimation of land cover fractions from remote sensing images is a f...
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12/15/2017
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields
The berry size is one of the most important fruit traits in grapevine br...
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10/19/2017
Sea Level Anomaly Prediction using Recurrent Neural Networks
Sea level change, one of the most dire impacts of anthropogenic global w...
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10/19/2017
Deep Self-taught Learning for Remote Sensing Image Classification
This paper addresses the land cover classification task for remote sensi...
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09/22/2017
Tropical Land Use Land Cover Mapping in Pará (Brazil) using Discriminative Markov Random Fields and Multi-temporal TerraSAR-X Data
Remote sensing satellite data offer the unique possibility to map land u...
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09/22/2017
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields
Satellite radar altimetry is one of the most powerful techniques for mea...
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09/09/2015
