EFFICIENT TRAINING DATA GENERATION BY CLUSTERING-BASED CLASSIFICATION

Böge, M.; Bulatov, D.; Debroize, D.; Häufel, G.; Lucks, L.

doi:https://doi.org/10.5194/isprs-annals-V-3-2022-179-2022

Articles | Volume V-3-2022

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Articles | Volume V-3-2022

https://doi.org/10.5194/isprs-annals-V-3-2022-179-2022

Articles | Volume V-3-2022

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17 May 2022

| 17 May 2022

EFFICIENT TRAINING DATA GENERATION BY CLUSTERING-BASED CLASSIFICATION

M. Böge, D. Bulatov, D. Debroize, G. Häufel, and L. Lucks

M. Böge

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Gutleuthausstrasse 1, 76275 Ettlingen, Germany

D. Bulatov

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Gutleuthausstrasse 1, 76275 Ettlingen, Germany

D. Debroize

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Gutleuthausstrasse 1, 76275 Ettlingen, Germany

G. Häufel

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Gutleuthausstrasse 1, 76275 Ettlingen, Germany

L. Lucks

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Gutleuthausstrasse 1, 76275 Ettlingen, Germany

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Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer

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Elevation Guided Global and Local Smoothness for Unsupervised Semantic Segmentation in Remote Sensing Imagery

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Efficient Rendering of Digital Twins Consisting of Both Static And Dynamic Data

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Unsupervised Bushfire Burn Severity Mapping Using Aerial and Satellite Imagery

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ON ACCELERATION OF THERMAL SIMULATION OF URBAN SCENES WITH THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO TREE PLANTING STRATEGIES

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PARAMETER OPTIMIZATION FOR A THERMAL SIMULATION OF AN URBAN AREA

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GROUND FILTERING OF CO-REGISTERED MOBILE AND STATIONARY LASER SCANS BY USING SUPERPOINTS IN RANSAC PLANES

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A REGION-BASED MACHINE LEARNING APPROACH FOR SELF-DIAGNOSIS OF A 4D DIGITAL THERMAL TWIN

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ASSESSING GEO-TYPICAL TECHNIQUES FOR MODELING BUILDINGS USING THERMAL SIMULATIONS

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EFFICIENT TRAINING DATA GENERATION BY CLUSTERING-BASED CLASSIFICATION

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