Uusimpia drone-julkaisuja

 

2017

 

Chen, Y.; Hakala, T.; Karjalainen, M.; Feng, Z.; Tang, J.; Litkey, P.; Kukko, A.; Jaakkola, A.; Hyyppä, J. UAV-Borne Profiling Radar for Forest Research. Remote Sensing, 2017; 9(1):58.  DOI:10.3390/rs9010058

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2016

 

de Oliveira, R., Tommaselli, A., Honkavaara, E. Geometric Calibration of a Hyperspectral Frame Camera. The Photogrammetric Record. 31.155 (2016): 325-347. DOI: 10.1111/phor.12153

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Nevalainen, O., Honkavaara, E., Hakala T., Kaasalainen, S., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R. Close-range environmental remote sensing with 3D hyperspectral technologies. Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 1000503 (October 18, 2016).  DOI: 10.1117/12.2240936

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Honkavaara, E., Hakala, T., Nevalainen, O., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R., Oliveira, R, Tommaselli, A. Geometric and reflectance signature characterization of complex canopies using hyperspectral stereoscopic images from UAV and terrestrial platforms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol.  XLI-B7, 77-82. DOI: 10.5194/isprs-archives-XLI-B7-77-2016

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Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., Reinikainen, J. Uas Based Tree Species Identification Using the Novel FPI Based Hyperspectral Cameras in Visible, NIR and SWIR Spectral Ranges. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XLI-B1, 1143-1148. DOI: 10.5194/isprs-archives-XLI-B1-1143-2016

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Matikainen, L., Lehtomäki, M., Ahokas, E., Hyyppä, J., Karjalainen, M., Jaakkola, A., Kukko, A., Heinonen, T. Remote sensing methods for power line corridor surveys. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 119, pp. 10-31. DOI: 10.1016/j.isprsjprs.2016.04.011

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Honkavaara, E., Eskelinen, M., Pölönen, I.; Saari, H.; Ojanen, H.; Mannila, R.; Holmlund, C.; Hakala, T.; Litkey, P.; Rosnell, T.; Viljanen, N.; Pulkkanen, M. Remote sensing of 3D geometry and surface moisture of peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard small unmanned airborne vehicle (UAV). IEEE Transactions on Geoscience and Remote Sensing, 54(9). Page(s): 5440 – 5454  DOI: 10.1109/TGRS.2016.2565471

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A. M. G. Tommaselli, A. Berveglieri, R. A. Oliveira, L. Y. Nagai, and E. Honkavaara. Orientation and calibration requirements for hyperspectral imaging using UAVs: A case study.  Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 109-115, doi:10.5194/isprsarchives-XL-3/W4-109-2016, 2016

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Tommaselli, A. M. G., Berveglieri, A., Oliveira, R.A., Nagai, L.Y., Honkavaara, E. Orientation and calibration requirements for hyperspectral imaging using UAVs: A Case study. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W4, 2016 EuroCOW 2016, the European Calibration and Orientation Workshop, 10–12 Feb 2016, Lausanne, Switzerland. DOI: 10.5194/isprsarchives-XL-3-W4-109-2016

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Oliveira, R.A., Tommaselli, A. M. G., Honkavaara, E., Using Hyperspectral Frame Images from Unmanned Airborne Vehicle for Detailed Measurement of Boreal Forest 3D Structure. IOP Conf. Series: Earth and Environmental Science 44 (2016) 042029 DOI: 10.1088/1755-1315/44/4/042029

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2015

 

Näsi, R.; Honkavaara, E.; Lyytikäinen-Saarenmaa, P.; Blomqvist, M.; Litkey, P.; Hakala, T.; Viljanen, N.; Kantola, T.; Tanhuanpää, T.; Holopainen, M. Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level. Remote Sensing, 2015, 7, 15467-15493. DOI:10.3390/rs71115467

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2014

 

Honkavaara, E., Markelin, L., Hakala, T., Peltoniemi, J., 2014. The Metrology of Directional, Spectral Reflectance Factor Measurements Based on Area Format Imaging by UAVs, PFG 2014 / 3, 0185–0198.

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Hakala T., Honkavaara E., Markelin L. Hemispherical Directional Reflectance Factor using UAV and a hyperspectral camera, validation and crop field test. SPIE Remote Sensing 2014.

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Pölönen, I., Puupponen H-H., Honkavaara E., Lindfors A., Saari H., Markelin L, Hakala T., Nurminen K. UAV-based hyperspectral monitoring of small freshwater area. SPIE Remote Sensing, 2014.

2013

 

Delalieux, S., Raymaekers, D., Nackaerts, K., Honkavaara, E., Soukkamäki, J., Van Den Borne, J., 2014.  High spatial and spectral remote sensing for detailed mapping of potato plant parameters. WHISPERS, 6th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing 24-27 June 2014, Lausanne, Switzerland.

 

 

Hakala, T.; Honkavaara, E.; Saari, H.; Mäkynen, J.; Kaivosoja, J.; Pesonen, L.; Pölönen, I. Spectral imaging from UAVs under varying illumination conditions. In G. Grenzdörffer, & R. Bill (Eds.), UAV-g2013, 4–6 September 2013, Rostock, Germany (pp. 189-194). Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2.

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Honkavaara, E.; Saari, H.; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, J.; Pesonen, L. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sensing. 2013, 5, 5006-5039.

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Kaivosoja, J., Pesonen, L., Kleemola, J., Pölönen, I., Salo, H., Honkavaara, E., Saari, H., Mäkynen, J., Rajala, A., 2013.  A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. In C. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV (pp. 88870H). SPIE Conference Proceedings, 8887. SPIE – International Society for Optical Engineering.

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Lin, Y., Hyyppa, J., Rosnell, T., Jaakkola, A., Honkavaara, E., 2013. Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4): 1893 – 1898.

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Pölönen, I., Saari, H., Kaivosoja, J., Honkavaara, E., & Pesonen, L. (2013).  Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV.  In C. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV. SPIE Conference Proceedings, 8887. SPIE – International Society for Optical Engineering.

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Saari, H., Pölönen, I., Salo, H., Honkavaara, E., Hakala, T., Holmlund, C., Mäkynen, J., Mannila, R., Antila, T., Akujärvi, A., 2013. Miniaturized hyperspectral imager calibration and UAV flight campaigns.  In R. Meynart, S. P. Neeck, & H. Shimoda (Eds.), Sensors, Systems, and Next-Generation Satellites XVII. SPIE Conference Proceedings, 8889. SPIE – International Society for Optical Engineering.

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2012

 

Honkavaara, E., Kaivosoja, J., Mäkynen, J., Pellikka, I., Pesonen, L., Saari, H., Salo, H., Hakala, T., Markelin, L., and Rosnell, T, 2012.  Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 353-358, doi:10.5194/isprsannals-I-7-353-2012

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Honkavara, E., Hakala, T., Saari, H., Markelin, L., Mäkynen, J., Rosnell, T., 2012. A process for radiometric correction of UAV image blocks. Photogrammetrie, Fernerkundung, Geoinformation (PFG) 2/2012.

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Pölönen, I., Salo, H., Saari, H., Kaivosoja, J., Pesonen, L., & Honkavaara, E. (2012). Biomass estimator for NIR image with a few additional spectral band images taken from light UAS.  In M. S. Kim, S.-I. Tu, & K. Chao (Eds.), Sensing for Agriculture and Food Quality and Safety IV. Proceedings of SPIE, 8369. Bellingham, WA: SPIE.

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Rosnell, T., Honkavaara, E., 2012. Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera. Sensors, 2012, 12, pp. 453-480.

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2010

 

Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, H., Lehtomäki, M., Lin, Y. A Low-cost multi sensorial mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing. 2010, 65, 514–522.

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