Professor II
Michael C Kampffmeyer
- Avdeling Bildeanalyse og jordobservasjon
- Mobiltelefon +47 906 02 098
- Telefonnummer +47 90 60 20 98
- E-post kampffmeyer@nr.no
Publikasjoner
- 123 publikasjoner funnet
- Utgiver
ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation Lecture Notes in Computer Science (LNCS), (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-91585-7_26 , 2025. Vitenskapelig artikkel
Flatland and Beyond: Mutual Information Across Geometries IEEE International Conference on Computer Vision Workshop (ICCVW), (ISSN 2473-9936 2473-9944 ), doi: https://doi.org/https://openreview.net/forum?id=LX9bskkzH2#discussion , 2025. Vitenskapelig artikkel
Tied Prototype Model for Few-Shot Medical Image Segmentation 2025. Annen presentasjon
Kunstig intelligens som forklarer hva den tenker doi: https://doi.org/https://youtu.be/mZdGNQl_kqs?si=PAjttUxvmi5xvsYU , 2025. Faglig foredrag
Michael Kampffmeyer; Adrian Bjørkan Pedersen; Michael ble professor som 32-åring – her er hans tips til unge doi: https://doi.org/https://www.nordlys.no/michael-ble-professor-som-32-aring-her-er-hans-tips-til-unge/s/5-34-2142171 , 2025. Intervju
NOFE - Neural Operator Function Embedding 2025. Poster
AI tools to detect disease EU Research, vol. Spring 2025, pp. 15 15 , doi: https://doi.org/10.56181/fiww2441 , 2025. Vitenskapelig artikkel
A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering Computer Vision and Pattern Recognition, (ISSN 1063-6919 ), 2025. Vitenskapelig artikkel
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability | Proceedings of the AAAI Conference on Artificial Intelligence Proceedings of the AAAI Conference on Artificial Intelligence, (ISSN 2159-5399 2374-3468 ), doi: https://doi.org/10.1609/aaai.v39i8.32900 , 2025. Vitenskapelig artikkel
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Proceedings of Machine Learning Research (PMLR), (ISSN 2640-3498 ), 2025. Vitenskapelig artikkel
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes International Conference on Learning Representations (ICLR), (ISSN 0277-5778 ), 2025. Vitenskapelig artikkel
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering Computer Vision and Pattern Recognition, (ISSN 1063-6919 ), doi: https://doi.org/https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_AdaptCMVC_Robust_Adaption_to_Incremental_Views_in_Continual_Multi-view_Clustering_CVPR_2025_paper.pdf , 2025. Vitenskapelig artikkel
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction Lecture Notes in Computer Science (LNCS), (ISSN 0302-9743 1611-3349 ), 2025. Vitenskapelig artikkel
Robust Classification by Coupling Data Mollification with Label Smoothing Proceedings of Machine Learning Research (PMLR), (ISSN 2640-3498 ), 2025. Vitenskapelig artikkel
Tied Prototype Model for Few-Shot Medical Image Segmentation Lecture Notes in Computer Science (LNCS), vol. 15962, pp. 651 661 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-032-04947-6_62 , 2025. Vitenskapelig artikkel
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting International Conference on Learning Representations (ICLR), (ISSN 0277-5778 ), 2025. Vitenskapelig artikkel
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction Lecture Notes in Computer Science (LNCS), vol. 15961, pp. 495 505 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-032-04937-7_47 , 2025. Vitenskapelig artikkel
FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications 2025. Vitenskapelig foredrag
NOFE Neural Operator Function Embedding doi: https://doi.org/https://ai4eo2025.irisa.fr/ , 2025. Vitenskapelig foredrag
Leveraging tensor kernels to reduce objective function mismatch in deep clustering Pattern Recognition, vol. 149, (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2023.110229 , 2024. Vitenskapelig artikkel
Rwiddhi Chakraborty; Adrian Sletten; Michael Christian Kampffmeyer; ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Computer Vision and Pattern Recognition, (ISSN 1063-6919 ), doi: https://doi.org/10.1109/CVPR52733.2024.01142 , 2024. Vitenskapelig artikkel
Srishti Gautam; Ahcene Boubekki; Marina Marie-Claire Höhne; Michael Christian Kampffmeyer; Prototypical Self-Explainable Models Without Re-training Transactions on Machine Learning Research (TMLR), (ISSN 2835-8856 ), 2024. Vitenskapelig artikkel
Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution IEEE International Geoscience and Remote Sensing Symposium proceedings, pp. 1103 1107 , (ISSN 2153-6996 2153-7003 ), doi: https://doi.org/10.1109/IGARSS53475.2024.10641882 , 2024. Vitenskapelig artikkel
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7170 7174 , (ISSN 1520-6149 2379-190X ), doi: https://doi.org/10.1109/ICASSP48485.2024.10447094 , 2024. Vitenskapelig artikkel
Luoyang Lin; Zutao Jiang; Xiaodan Liang; Liqian Ma; Michael Christian Kampffmeyer; et al. PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping Proceedings of the AAAI Conference on Artificial Intelligence, (ISSN 2159-5399 2374-3468 ), doi: https://doi.org/10.1609/aaai.v38i4.28131 , 2024. Vitenskapelig artikkel
Full klaff for KI-konferansen i Tromsø uit.no, , 2024. Populærvitenskapelig artikkel
Representation learning for deep clustering and few-shot learning 2024. Faglig foredrag
Towards Self-explainable Deep Learning Models 2024. Faglig foredrag
Towards Explainable Deep Learning Models 2024. Faglig foredrag
Foundation Models for Earth Observation 2024. Vitenskapelig foredrag
Yi Pan; Yujia Zhang; Michael Christian Kampffmeyer; Xiaoguang Zhao; PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding 2024. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution 2024. Vitenskapelig foredrag
EO Foundation Model. Foundation Models for Climate and Society. Deliverable D1.1 Milestone 1 2024. Rapport
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data IEEE Journal of Oceanic Engineering, vol. 48, pp. 384 400 , (ISSN 0364-9059 1558-1691 ), doi: https://doi.org/10.1109/JOE.2022.3226214 , 2023. Vitenskapelig artikkel
Juan Emmanuel Johnson; Sigurd Eivindson Løkse; Gustau Camps-Valls; Karl Øyvind Mikalsen; Michael Kampffmeyer; et al. The Kernelized Taylor Diagram doi: https://doi.org/10.1007/978-3-031-17030-0_10 , 2023. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Computerized Medical Imaging and Graphics, vol. 107, pp. 1 12 , (ISSN 0895-6111 1879-0771 ), doi: https://doi.org/10.1016/j.compmedimag.2023.102239 , 2023. Vitenskapelig artikkel
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings Computer Vision and Pattern Recognition, pp. 7527 7536 , (ISSN 1063-6919 ), doi: https://doi.org/10.1109/CVPR52729.2023.00727 , 2023. Vitenskapelig artikkel
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering Computer Vision and Pattern Recognition, pp. 23976 23985 , (ISSN 1063-6919 ), doi: https://doi.org/10.1109/CVPR52729.2023.02296 , 2023. Vitenskapelig artikkel
Durgesh Kumar Singh; Ahcene Boubekki; Robert Jenssen; Michael Kampffmeyer; Supercm: Revisiting Clustering for Semi-Supervised Learning Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, (ISSN 1520-6149 2379-190X ), doi: https://doi.org/10.1109/ICASSP49357.2023.10095856 , 2023. Vitenskapelig artikkel
View it like a radiologist: Shifted windows for deep learning augmentation of CT images Machine Learning for Signal Processing, (ISSN 1551-2541 2378-928X ), doi: https://doi.org/10.1109/MLSP55844.2023.10285978 , 2023. Vitenskapelig artikkel
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy Entropy, vol. 25, pp. 1 21 , (ISSN 1099-4300 ), doi: https://doi.org/10.3390/e25060899 , 2023. Vitenskapelig artikkel
Kristoffer Knutsen Wickstrøm; Sigurd Eivindson Løkse; Michael Christian Kampffmeyer; Shujian Yu; José C. Príncipe; et al. Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy Entropy, (ISSN 1099-4300 1099-4300 ), doi: https://doi.org/10.3390/e25060899 , 2023. Vitenskapelig artikkel
Jonas Lederer; Michael Gastegger; Kristof T. Schütt; Michael Christian Kampffmeyer; Klaus-Robert Müller; et al. Automatic identification of chemical moieties Physical Chemistry, Chemical Physics - PCCP, vol. 25, pp. 26370 26379 9 , (ISSN 1463-9076 1463-9084 ), doi: https://doi.org/10.1039/d3cp03845a , 2023. Vitenskapelig artikkel
Luca Tomasetti; Stine Hansen; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; et al. Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation IEEE International Symposium on Biomedical Imaging, pp. 5 , (ISSN 1945-7928 1945-8452 ), doi: https://doi.org/10.1109/ISBI53787.2023.10230655 , 2023. Vitenskapelig artikkel
Learning from limited labeled data for few-shot medical image segmentation (and beyond) 2023. Vitenskapelig foredrag
Hva er kunstig intelligens (KI)? Muligheter og utfordringer 2023. Faglig foredrag
AI’S FUTURE PATH, WHAT ARE THE OPPORTUNITIES? 2023. Faglig foredrag
UiT Machine Learning Group 2023. Vitenskapelig foredrag
Self-Explainable Deep Learning 2023. Vitenskapelig foredrag
Learning from limited labelled data for medical image segmentation 2023. Vitenskapelig foredrag
Deep Multi-view Clustering 2023. Vitenskapelig foredrag
Deep Clustering 2023. Vitenskapelig foredrag
Trends in deep learning 2023. Vitenskapelig foredrag
Discriminative multimodal learning via conditional priors in generative models Neural Networks, vol. 169, pp. 417 430 , (ISSN 0893-6080 1879-2782 ), doi: https://doi.org/10.1016/j.neunet.2023.10.048 , 2023. Vitenskapelig artikkel
A Contextually Supported Abnormality Detector for Maritime Trajectories Journal of Marine Science and Engineering (JMSE), vol. 11, (ISSN 2077-1312 ), doi: https://doi.org/10.3390/jmse11112085 , 2023. Vitenskapelig artikkel
Introduction to Transfer Learning 2023. Vitenskapelig foredrag
RELAX: Representation Learning Explainability 2022. Poster
Deep Clustering with the Cauchy-Schwarz Divergence 2022. Vitenskapelig foredrag
Generating customer's credit behavior with deep generative models Knowledge-Based Systems, vol. 245, (ISSN 0950-7051 1872-7409 ), doi: https://doi.org/10.1016/j.knosys.2022.108568 , 2022. Vitenskapelig artikkel
Mixing up contrastive learning: Self-supervised representation learning for time series Pattern Recognition Letters, vol. 155, pp. 54 61 , (ISSN 0167-8655 1872-7344 ), doi: https://doi.org/10.1016/j.patrec.2022.02.007 , 2022. Vitenskapelig artikkel
Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), 2022. Vitenskapelig artikkel
Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), 2022. Vitenskapelig artikkel
Suaiba Amina Salahuddin; Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), , 2022. Vitenskapelig artikkel
Kristoffer Wickstrøm; Michael Kampffmeyer; Karl Øyvind Mikalsen; Robert Jenssen; Mixing up contrastive learning: Self-supervised representation learning for time series Pattern Recognition Letters, (ISSN 0167-8655 1872-7344 ), doi: https://doi.org/10.1016/j.patrec.2022.02.007 , 2022. Vitenskapelig artikkel
The Kernelized Taylor Diagram Communications in Computer and Information Science (CCIS), vol. 1650, pp. 125 131 , (ISSN 1865-0929 1865-0937 ), doi: https://doi.org/10.1007/978-3-031-17030-0_10 , 2022. Vitenskapelig artikkel
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks International Journal of Remote Sensing, vol. 43, pp. 3509 3535 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2022.2098078 , 2022. Vitenskapelig artikkel
Kristoffer Knutsen Wickstrøm; Karl Oyvind Mikalsen; Michael Kampffmeyer; Arthur Revhaug; Robert Jenssen; Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series IEEE journal of biomedical and health informatics, vol. 25, pp. 2435 2444 9 , (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2020.3042637 , 2021. Vitenskapelig artikkel
Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; et al. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing, (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.2021.3056196 , 2021. Vitenskapelig artikkel
Daniel Johansen Trosten; Robert Jenssen; Michael Kampffmeyer; Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective Proceedings of the Northern Lights Deep Learning Workshop, vol. 2, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.5709 , 2021. Vitenskapelig artikkel
Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images International Journal of Remote Sensing, vol. 42, pp. 6184 6208 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2021.1936267 , 2021. Vitenskapelig artikkel
PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021 2021. Vitenskapelig foredrag
Semi-supervised target classification in multi-frequency echosounder data ICES Journal of Marine Science, vol. 78, pp. 2615 2627 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsab140 , 2021. Vitenskapelig artikkel
Machine Learning + Marine Science: Critical Role of Partnerships in Norway Journal of Ocean Technology, vol. 16, pp. 1 9 , (ISSN 1718-3200 1718-3219 ), , 2021. Fagartikkel
Towards Explainable Representation Learning 2021. Faglig foredrag
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision 2021. Vitenskapelig foredrag
Towards Explainable Representation Learning 2021. Faglig foredrag
Towards Explainable Representation Learning 2021. Faglig foredrag
Dense dilated convolutions merging network for land cover classification IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 6309 6320 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.2020.2976658 , 2020. Vitenskapelig artikkel
MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020 2020. Vitenskapelig foredrag
MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation , 2020. Vitenskapelig foredrag
Deep generative models for reject inference in credit scoring Knowledge-Based Systems, vol. 196, (ISSN 0950-7051 1872-7409 ), doi: https://doi.org/10.1016/j.knosys.2020.105758 , 2020. Vitenskapelig artikkel
Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation pp. 199 205 , doi: https://doi.org/10.1109/CVPRW50498.2020.00030 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Explaining decisions of deep neural networks used for fish age prediction PLOS ONE, vol. 15, (ISSN 1932-6203 ), doi: https://doi.org/10.1371/journal.pone.0235013 , 2020. Vitenskapelig artikkel
Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen; Learning latent representations of bank customers with the Variational Autoencoder Expert systems with applications, vol. 164, pp. 13 , (ISSN 0957-4174 1873-6793 ), doi: https://doi.org/10.1016/j.eswa.2020.114020 , 2020. Vitenskapelig artikkel
Learning latent representations of bank customers with the Variational Autoencoder Expert Systems With Applications, vol. 164, (ISSN 0957-4174 1873-6793 ), doi: https://doi.org/10.1016/j.eswa.2020.114020 , 2020. Vitenskapelig artikkel
SCG-Net for Semantic Labeling , 2020. Vitenskapelig foredrag
Changkyu Choi; Filippo Maria Bianchi; Michael Kampffmeyer; Robert Jenssen; Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks Proceedings of the Northern Lights Deep Learning Workshop, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.5136 , 2020. Vitenskapelig artikkel
The 1st Agriculture-Vision Challenge: Methods and Results pp. 212 218 , doi: https://doi.org/10.1109/CVPRW50498.2020.00032 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Self-Constructing Graph Convolutional Networks for Semantic Labeling doi: https://doi.org/10.1109/IGARSS39084.2020.9324719 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction 2020. Faglig foredrag
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images pp. 1 4 , doi: https://doi.org/10.1109/JURSE.2019.8809046 , 2019. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt Børre Salberg; et al. Deep divergence-based approach to clustering Neural Networks, vol. 113, pp. 91 101 , (ISSN 0893-6080 1879-2782 ), doi: https://doi.org/10.1016/j.neunet.2019.01.015 , 2019. Vitenskapelig artikkel
Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Robert Jenssen; Learning representations of multivariate time series with missing data Pattern Recognition, vol. 96:106973, pp. 1 11 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2019.106973 , 2019. Vitenskapelig artikkel
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network pp. 5041 5044 , doi: https://doi.org/10.1109/IGARSS.2019.8900082 , 2019. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
DDCM Network for Semantic Mapping of Remote Sensing Images , 2019. Vitenskapelig foredrag
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network , 2019. Vitenskapelig foredrag
Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Urban land cover classification with missing data modalities using deep convolutional neural networks IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 1758 1768 , (ISSN 1939-1404 2151-1535 ), doi: https://doi.org/10.1109/JSTARS.2018.2834961 , 2018. Vitenskapelig artikkel
Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; Lorenzo Livi; The deep kernelized autoencoder Applied Soft Computing, vol. 71, pp. 816 825 , (ISSN 1568-4946 1872-9681 ), doi: https://doi.org/10.1016/j.asoc.2018.07.029 , 2018. Vitenskapelig artikkel
Arnt Børre Salberg; Øivind Due Trier; Michael C. Kampffmeyer; Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks pp. 193 204 , doi: https://doi.org/10.1007%2F978-3-319-59129-2_17 , 2017. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Urban land cover classification with missing data using deep convolutional neural networks pp. 5161 5164 , doi: https://doi.org/10.1109/IGARSS.2017.8128164 , 2017. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Deep divergence-based clustering doi: https://doi.org/10.1109/MLSP.2017.8168158 , 2017. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Urban land cover classification with missing data using deep convolutional neural networks , 2017. Vitenskapelig foredrag
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 680 688 , (ISSN 2160-7508 2160-7516 ), doi: https://doi.org/10.1109/CVPRW.2016.90 , 2016. Vitenskapelig artikkel
Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks 2016. Vitenskapelig foredrag
Automatic mapping of forest roads 2016. Rapport