| Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture E Honkavaara, H Saari, J Kaivosoja, I Pölönen, T Hakala, P Litkey, ... Remote Sensing 5 (10), 5006-5039, 2013 | 424 | 2013 |
| Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging O Nevalainen, E Honkavaara, S Tuominen, N Viljanen, T Hakala, X Yu, ... Remote Sensing 9 (3), 185, 2017 | 276 | 2017 |
| Spectral imaging from UAVs under varying illumination conditions T Hakala, E Honkavaara, H Saari, J Mäkynen, J Kaivosoja, L Pesonen, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 68 | 2013 |
| Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a … E Honkavaara, MA Eskelinen, I Pölönen, H Saari, H Ojanen, R Mannila, ... IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5440-5454, 2016 | 61 | 2016 |
| Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables S Tuominen, A Balazs, H Saari, I Pölönen, J Sarkeala, R Viitala Silva Fennica 49, 2015 | 55 | 2015 |
| Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV I Pölönen, H Saari, J Kaivosoja, E Honkavaara, L Pesonen Remote Sensing for Agriculture, Ecosystems, and Hydrology XV 8887, 88870J, 2013 | 54 | 2013 |
| Detecting field cancerization using a hyperspectral imaging system N Neittaanmäki‐Perttu, M Grönroos, T Tani, I Pölönen, A Ranki, ... Lasers in surgery and medicine 45 (7), 410-417, 2013 | 48 | 2013 |
| Miniaturized hyperspectral imager calibration and UAV flight campaigns H Saari, I Pölönen, H Salo, E Honkavaara, T Hakala, C Holmlund, ... Sensors, systems, and next-generation satellites xvii 8889, 88891O, 2013 | 42 | 2013 |
| Using VIS/NIR and IR spectral cameras for detecting and separating crime scene details J Kuula, I Pölönen, HH Puupponen, T Selander, T Reinikainen, ... Sensors, and Command, Control, Communications, and Intelligence (C3I …, 2012 | 42 | 2012 |
| Tree species classification of drone hyperspectral and rgb imagery with deep learning convolutional neural networks S Nezami, E Khoramshahi, O Nevalainen, I Pölönen, E Honkavaara Remote Sensing 12 (7), 1070, 2020 | 40 | 2020 |
| Assessment of classifiers and remote sensing features of hyperspectral imagery and stereo-photogrammetric point clouds for recognition of tree species in a forest area of high … S Tuominen, R Näsi, E Honkavaara, A Balazs, T Hakala, N Viljanen, ... Remote Sensing 10 (5), 714, 2018 | 40 | 2018 |
| A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data J Kaivosoja, L Pesonen, J Kleemola, I Pölönen, H Salo, E Honkavaara, ... Remote Sensing for Agriculture, Ecosystems, and Hydrology XV 8887, 88870H, 2013 | 30 | 2013 |
| Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction V Zheludev, I Pölönen, N Neittaanmäki-Perttu, A Averbuch, ... Biomedical Signal Processing and Control 16, 48-60, 2015 | 24 | 2015 |
| Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables S Tuominen, A Balazs, E Honkavaara, I Pölönen, H Saari, T Hakala, ... Silva Fennica 51, 2017 | 23 | 2017 |
| Delineating margins of lentigo maligna using a hyperspectral imaging system N Neittaanmäki-Perttu, M Grönroos, L Jeskanen, I Pölönen, A Ranki, ... Acta dermato-venereologica 95 (5), 549-552, 2015 | 20 | 2015 |
| Research literature clustering using diffusion maps P Nieminen, I Pölönen, T Sipola Journal of Informetrics 7 (4), 874-886, 2013 | 18 | 2013 |
| Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ... ISPRS Archives, 2014 | 16 | 2014 |
| UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges R Näsi, E Honkavaara, S Tuominen, H Saari, I Pölönen, T Hakala, ... International archives of the photogrammetry, remote sensing and spatial …, 2016 | 15 | 2016 |
| Hyperspectral imaging in detecting dermal invasion in lentigo maligna melanoma N Neittaanmäki, M Salmivuori, I Pölönen, L Jeskanen, A Ranki, O Saksela, ... British Journal of Dermatology 177, 2017 | 14 | 2017 |
| Convolutional neural networks in skin cancer detection using spatial and spectral domain I Pölönen, S Rahkonen, L Annala, N Neittaanmäki Photonics in Dermatology and Plastic Surgery 2019 10851, 108510B, 2019 | 11 | 2019 |
Eija HonkavaaraResearch Professor, Finnish Geospatial Research Institute, FGI, UNITE FlagshipVerified email at nls.fi
