Multi-Task Learning of Height and Semantics from Aerial Images
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Abstract (arXiv)
Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models. In this investigation, we present a neural network framework for learning semantics and local height together. We show how this joint multi-task learning benefits to each task on the large dataset of the 2018 Data Fusion Contest. Moreover, our framework also yields an uncertainty map which allows assessing the prediction of the model. Code is available at https://github.com/marcelampc/mtl_aerial_images .
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Nov 2019.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 4; 2024: 0; 2025: 3; 2026: 2.
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- 2021Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetrycited by 47
- 2023Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Modelcited by 10
- 2022Remote Sensing Novel View Synthesis with Implicit Multiplane Representationscited by 9
- 2023HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Imagescited by 8
- 2025Co-Training Vision Language Models for Remote Sensing Multi-task Learningcited by 3
- 2023Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechiacited by 1
- 2025Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waterscited by 1
- 2025TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Imagescited by 1
- 2021Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learningcited by 0
- 2021Mapping Vulnerable Populations with AIcited by 0
- 2022Automatic satellite building construction monitoringcited by 0
- 2023Virtual Accessory Try-On via Keypoint Hallucinationcited by 0
- 2026Estimating Individual Tree Height and Species from UAV Imagery24 Mar 2026
- 2026Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network29 Jan 2026
- 2025Co-Training Vision Language Models for Remote Sensing Multi-task Learning26 Nov 2025
- 2025TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Images17 Nov 2025
- 2025Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters22 Oct 2025
- 2023Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia13 Nov 2023
- 2023Virtual Accessory Try-On via Keypoint Hallucination26 Oct 2023
- 2023HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Images28 Sep 2023
- 2023Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model2 Jun 2023
- 2022Automatic satellite building construction monitoring29 Sep 2022
- 2022Remote Sensing Novel View Synthesis with Implicit Multiplane Representations18 May 2022
- 2021Mapping Vulnerable Populations with AI29 Jul 2021
- 2021Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetrycited by 47
- 2023Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Modelcited by 10
- 2022Remote Sensing Novel View Synthesis with Implicit Multiplane Representationscited by 9
- 2023HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Imagescited by 8
- 2023Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechiacited by 1
- 2025Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waterscited by 1
- 2025TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Imagescited by 1
- 2021Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learningcited by 0
- 2021Mapping Vulnerable Populations with AIcited by 0
- 2022Automatic satellite building construction monitoringcited by 0
- 2023Virtual Accessory Try-On via Keypoint Hallucinationcited by 0
- 2026Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Networkcited by 0
12 most cited of 13 All 13 (JSON)
- 2026Estimating Individual Tree Height and Species from UAV Imagery24 Mar 2026
- 2026Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network29 Jan 2026
- 2025TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Images17 Nov 2025
- 2025Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters22 Oct 2025
- 2023Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia13 Nov 2023
- 2023Virtual Accessory Try-On via Keypoint Hallucination26 Oct 2023
- 2023HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Images28 Sep 2023
- 2023Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model2 Jun 2023
- 2022Automatic satellite building construction monitoring29 Sep 2022
- 2022Remote Sensing Novel View Synthesis with Implicit Multiplane Representations18 May 2022
- 2021Mapping Vulnerable Populations with AI29 Jul 2021
- 2021Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning22 Apr 2021
12 newest of 13 All 13 (JSON)