Lukas Drees
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View article: Mapping Tea Plantations in Africa with Computer Vision
Mapping Tea Plantations in Africa with Computer Vision Open
Tea, Camellia sinensis (L.) Kuntze is a globally significant crop, with approximately 6.6 billion cups consumed daily, making it the second most consumed beverage after water. It supports millions of livelihoods and contributes significant…
View article: Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction Open
Cauliflower cultivation is subject to high-quality control criteria during sales, which underlines the importance of accurate harvest timing. Using time series data for plant phenotyping can provide insights into the dynamic development of…
View article: Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks
Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks Open
Background Image-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time, which allows an early and location-specific estimation of relevant future plant traits, such…
View article: Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks Open
Image-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time, which allows an early and location-specific estimation of relevant future plant traits, such as leaf ar…
View article: Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks Open
The need for accurate yield estimates for viticulture is becoming more important due to increasing competition in the wine market worldwide. One of the most promising methods to estimate the harvest is berry counting, as it can be approach…
View article: SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES
SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES Open
In order to reach the goal of reliably solving Earth monitoring tasks, automated and efficient machine learning methods are necessary for large-scale scene analysis and interpretation. A typical bottleneck of supervised learning approaches…
View article: MULTI-MODAL DEEP LEARNING WITH SENTINEL-3 OBSERVATIONS FOR THE DETECTION OF OCEANIC INTERNAL WAVES
MULTI-MODAL DEEP LEARNING WITH SENTINEL-3 OBSERVATIONS FOR THE DETECTION OF OCEANIC INTERNAL WAVES Open
The observation of waves that propagate along density interfaces inside the ocean poses a significant challenge, as their visible surface signatures are much lower compared to their internal amplitudes. However, monitoring internal waves i…
View article: Archetypal Analysis for Sparse Representation-based Hyperspectral\n Sub-pixel Quantification
Archetypal Analysis for Sparse Representation-based Hyperspectral\n Sub-pixel Quantification Open
The estimation of land cover fractions from remote sensing images is a\nfrequently used indicator of the environmental quality. This paper focuses on\nthe quantification of land cover fractions in an urban area of Berlin, Germany,\nusing s…
View article: ARCHETYPAL ANALYSIS FOR SPARSE REPRESENTATION-BASED HYPERSPECTRAL SUB-PIXEL QUANTIFICATION
ARCHETYPAL ANALYSIS FOR SPARSE REPRESENTATION-BASED HYPERSPECTRAL SUB-PIXEL QUANTIFICATION Open
This paper focuses on the quantification of land cover fractions in an urban area of Berlin, Germany, using simulated hyperspectral EnMAP data with a spatial resolution of 30m×30m. For this, sparse representation is applied, where each pix…