Search Results - "Pölönen, Ilkka"

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks by Nezami, Somayeh, Khoramshahi, Ehsan, Nevalainen, Olli, Pölönen, Ilkka, Honkavaara, Eija

“…Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions…”
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DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification by Prezja, Fabi, Paloneva, Juha, Pölönen, Ilkka, Niinimäki, Esko, Äyrämö, Sami

“…Recent developments in deep learning have impacted medical science. However, new privacy issues and regulatory frameworks have hindered medical data sharing…”
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Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer by Vermolen, Fred, Pölönen, Ilkka

“…A spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal…”
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Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture by Honkavaara, Eija, Saari, Heikki, Kaivosoja, Jere, Pölönen, Ilkka, Hakala, Teemu, Litkey, Paula, Mäkynen, Jussi, Pesonen, Liisa

“…Imaging using lightweight, unmanned airborne vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology. The new, tunable,…”
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Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging by Nevalainen, Olli, Honkavaara, Eija, Tuominen, Sakari, Viljanen, Niko, Hakala, Teemu, Yu, Xiaowei, Hyyppä, Juha, Saari, Heikki, Pölönen, Ilkka, Imai, Nilton, Tommaselli, Antonio

“…Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering…”
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A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python by Riihiaho, Kimmo Aukusti, Eskelinen, Matti Aleksanteri, Pölönen, Ilkka

“…Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an…”
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Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions by Prezja, Fabi, Äyrämö, Sami, Pölönen, Ilkka, Ojala, Timo, Lahtinen, Suvi, Ruusuvuori, Pekka, Kuopio, Teijo

“…Hematoxylin and eosin-stained biopsy slides are regularly available for colorectal cancer patients. These slides are often not used to define objective…”
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Assessment of microalgae species, biomass, and distribution from spectral images using a convolution neural network by Salmi, Pauliina, Calderini, Marco, Pääkkönen, Salli, Taipale, Sami, Pölönen, Ilkka

“…Effective monitoring of microalgae growth is crucial for environmental observation, while the applications of this monitoring could also be expanded to…”
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Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores by Romppanen, Sari, Pölönen, Ilkka, Häkkänen, Heikki, Kaski, Saara

“…Mapping with laser-induced breakdown spectroscopy (LIBS) can offer more than just the spatial distribution of elements: the rich spectral information also…”
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Deep learning-based asteroid surface temperature evaluation from disk-resolved near-infrared spectra for thermal excess correction by Lind, Leevi, Penttilä, Antti, Riihiaho, Kimmo A., MacLennan, Eric, Pölönen, Ilkka

“…Near-Earth asteroids can become warm enough to emit radiation at near-infrared wavelengths, close to 2.5 ​μm. Thermal radiation can interfere with reflectance…”
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Reflectance Measurement Method Based on Sensor Fusion of Frame-Based Hyperspectral Imager and Time-of-Flight Depth Camera by Rahkonen, Samuli, Lind, Leevi, Raita-Hakola, Anna-Maria, Kiiskinen, Sampsa, Pölönen, Ilkka

“…Hyperspectral imaging and distance data have previously been used in aerial, forestry, agricultural, and medical imaging applications. Extracting meaningful…”
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion by Annala, Leevi, Honkavaara, Eija, Tuominen, Sakari, Pölönen, Ilkka

“…Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining…”
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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 Species Diversity by Tuominen, Sakari, Näsi, Roope, Honkavaara, Eija, Balazs, Andras, Hakala, Teemu, Viljanen, Niko, Pölönen, Ilkka, Saari, Heikki, Ojanen, Harri

“…Recognition of tree species and geospatial information on tree species composition is essential for forest management. In this study, tree species recognition…”
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Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer by Petäinen, Liisa, Väyrynen, Juha P, Ruusuvuori, Pekka, Pölönen, Ilkka, Äyrämö, Sami, Kuopio, Teijo

“…Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from…”
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FPI Based Hyperspectral Imager for the Complex Surfaces-Calibration, Illumination and Applications by Raita-Hakola, Anna-Maria, Annala, Leevi, Lindholm, Vivian, Trops, Roberts, Näsilä, Antti, Saari, Heikki, Ranki, Annamari, Pölönen, Ilkka

“…Hyperspectral imaging (HSI) applications for biomedical imaging and dermatological applications have been recently under research interest. Medical HSI…”
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Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study by Räsänen, Janne, Salmivuori, Mari, Pölönen, Ilkka, Grönroos, Mari, Neittaanmäki, Noora

“…Pigmented basal cell carcinomas can be difficult to distinguish from melanocytic tumours. Hyperspectral imaging is a non-invasive imaging technique that…”
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Non-invasive monitoring of microalgae cultivations using hyperspectral imager by Pääkkönen, Salli, Pölönen, Ilkka, Raita-Hakola, Anna-Maria, Carneiro, Mariana, Cardoso, Helena, Mauricio, Dinis, Rodrigues, Alexandre Miguel Cavaco, Salmi, Pauliina

“…High expectations are placed on microalgae as a sustainable source of valuable biomolecules. Robust methods to control microalgae cultivation processes are…”
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Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks by Karila, Kirsi, Alves Oliveira, Raquel, Ek, Johannes, Kaivosoja, Jere, Koivumäki, Niko, Korhonen, Panu, Niemeläinen, Oiva, Nyholm, Laura, Näsi, Roope, Pölönen, Ilkka, Honkavaara, Eija

“…The objective of this study is to investigate the potential of novel neural network architectures for measuring the quality and quantity parameters of silage…”
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Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion by Annala, Leevi, Ayramo, Sami, Polonen, Ilkka

“…In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the…”
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Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network by Kanerva, Heini, Honkavaara, Eija, Näsi, Roope, Hakala, Teemu, Junttila, Samuli, Karila, Kirsi, Koivumäki, Niko, Alves Oliveira, Raquel, Pelto-Arvo, Mikko, Pölönen, Ilkka, Tuviala, Johanna, Östersund, Madeleine, Lyytikäinen-Saarenmaa, Päivi

“…Various biotic and abiotic stresses are causing decline in forest health globally. Presently, one of the major biotic stress agents in Europe is the European…”
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