Research literature clustering using diffusion maps. - Paavo Nieminen; Ilkka Pölönen; Tuomo Sipola (J. Informetrics, 2013)

Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. - Eija Honkavaara; Heikki Saari; Jere Kaivosoja; Ilkka Pölönen; Teemu Hakala; Paula Litkey; Jussi Mäkynen; Liisa Pesonen (Remote. Sens., 2013)

Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction. - Valery A. Zheludev; Ilkka Pölönen; Noora Neittaanmäki-Perttu; Amir Averbuch; Pekka Neittaanmäki; Mari Grönroos; Heikki Saari (Biomed. Signal Process. Control., 2015)

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 Small Unmanned Airborne Vehicle (UAV). - Eija Honkavaara; Matti A. Eskelinen; Ilkka Pölönen; Heikki Saari; Harri Ojanen; Rami Mannila; Christer Holmlund; Teemu Hakala; Paula Litkey; Tomi Rosnell; Niko Viljanen; Merja Pulkkanen (IEEE Trans. Geosci. Remote. Sens., 2016)

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. - Olli Nevalainen; Eija Honkavaara; Sakari Tuominen; Niko Viljanen; Teemu Hakala; Xiaowei Yu; Juha Hyyppä; Heikki Saari; Ilkka Pölönen; Nilton Nobuhiro Imai; Antonio M. G. Tommaselli (Remote. Sens., 2017)

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network. - Ilkka Pölönen; Leevi Annala; Samuli Rahkonen; Olli Nevalainen; Eija Honkavaara; Sakari Tuominen; Niko Viljanen; Teemu Hakala (WHISPERS, 2018)

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. - Sakari Tuominen; Roope Näsi; Eija Honkavaara; Andras Balazs; Teemu Hakala; Niko Viljanen; Ilkka Pölönen; Heikki Saari; Harri Ojanen (Remote. Sens., 2018)

Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions". - Eija Honkavaara; Konstantinos Karantzalos; Xinlian Liang; Erica Nocerino; Ilkka Pölönen; Petri Rönnholm (Remote. Sens., 2019)

Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network. - Leevi Annala; Noora Neittaanmäki; John Paoli; Oscar Zaar; Ilkka Pölönen (EMBC, 2020)

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion. - Leevi Annala; Eija Honkavaara; Sakari Tuominen; Ilkka Pölönen (Remote. Sens., 2020)

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks. - Somayeh Nezami; Ehsan Khoramshahi; Olli Nevalainen; Ilkka Pölönen; Eija Honkavaara (Remote. Sens., 2020)

A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python. - Kimmo Aukusti Riihiaho; Matti A. Eskelinen; Ilkka Pölönen (Sensors, 2021)

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. - Liisa Petäinen; Juha P. Väyrynen; Pekka Ruusuvuori; Ilkka Pölönen; Sami Äyrämö; Teijo Kuopio (CoRR, 2022)

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. - Kirsi Karila; Raquel Alves de Oliveira; Johannes Ek; Jere Kaivosoja; Niko Koivumäki; Panu Korhonen; Oiva Niemeläinen; Laura Nyholm; Roope Näsi; Ilkka Pölönen; Eija Honkavaara (Remote. Sens., 2022)

Reflectance Measurement Method Based on Sensor Fusion of Frame-Based Hyperspectral Imager and Time-of-Flight Depth Camera. - Samuli Rahkonen; Leevi Lind; Anna-Maria Raita-Hakola; Sampsa Kiiskinen; Ilkka Pölönen (Sensors, 2022)

FPI Based Hyperspectral Imager for the Complex Surfaces - Calibration, Illumination and Applications. - Anna-Maria Raita-Hakola; Leevi Annala; Vivian Lindholm; Roberts Trops; Antti Näsilä; Heikki Saari; Annamari Ranki; Ilkka Pölönen (Sensors, 2022)

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network. - Heini Kanerva; Eija Honkavaara; Roope Näsi; Teemu Hakala; Samuli Junttila; Kirsi Karila; Niko Koivumäki; Raquel Alves Oliveira; Mikko Pelto-Arvo; Ilkka Pölönen; Johanna Tuviala; Madeleine Östersund; et al. (Remote. Sens., 2022)

Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images. - Emma Turkulainen; Eija Honkavaara; Roope Näsi; Raquel Alves Oliveira; Teemu Hakala; Samuli Junttila; Kirsi Karila; Niko Koivumäki; Mikko Pelto-Arvo; Johanna Tuviala; Madeleine Östersund; Ilkka Pölönen; et al. (Remote. Sens., 2023)

Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks. - Vilho Halonen; Ilkka Pölönen (SIAM/ASA J. Uncertain. Quantification, 2023)

Analyzing Artificial Nighttime Lighting Using Hyperspectral Data from ENMAP. - Leevi Lind; Daniele Cerra; Miguel Pato; Ilkka Pölönen (IGARSS, 2024)

Revealing Hidden Art: Authenticating And Unveiling Neolithic Rock Paintings Through Advanced Hyperspectral Imaging Techniques. - Anna-Maria Raita-Hakola; Samuli Rahkonen; Ilkka Pölönen (IGARSS, 2024)

A New Version of an Endmember-Guided Autoencoder (EGAE-V2) with Improved Architecture and Regularization by Correlation Between Ground Truths and Latent Activations. - Pritish Naik; Ilkka Pölönen; Pauliina Salmi (WHISPERS, 2024)

Detecting Wildfires on UAVs with Real-Time Segmentation Trained by Larger Teacher Models. - Julius Pesonen; Teemu Hakala; Väinö Karjalainen; Niko Koivumäki; Lauri Markelin; Anna-Maria Raita-Hakola; Juha Suomalainen; Ilkka Pölönen; Eija Honkavaara (WACV, 2025)