Editorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions"
Honkavaara, E., Karantzalos, K., Liang, X., Nocerino, E., Pölönen, I., & Rönnholm, P. (2019). Editorial for the special issue "Frontiers in spectral imaging and 3D technologies for geospatial solutions". Remote Sensing, 11(14), Article 1714. https://doi.org/10.3390/rs11141714
Published inRemote Sensing
© 2019 by the authors
This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.
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Karhu, Anette (2020)As skin cancer types are a growing concern worldwide, a new screening tool combined with automation may help the clinicians in clinical examinations of lesions. A novel hyperspectral imager prototype has been noted to be ...
Pölönen, Ilkka; Riihiaho, Kimmo; Hakola, Anna-Maria; Annala, Leevi (International Society for Photogrammetry and Remote Sensing, 2020)Anomaly detection from hyperspectral data needs computationally efficient methods to process the data when the data gathering platform is a drone or a cube satellite. In this study, we introduce a minimal learning machine ...
Riihiaho, Kimmo A.; Rossi, Tuomo; Pölönen, Ilkka (Copernicus Publications, 2022)Remotely sensing vegetation condition and health hazards requires modeling the connection of plants’ biophysical and biochemical parameters to their spectral response. Even though many models exist already, the field suffers ...
Tree species classification of drone hyperspectral and RGB imagery with deep learning convolutional neural networks Nezami, Somayeh; Khoramshahi, Ehsan; Nevalainen, Olli; Pölönen, Ilkka; Honkavaara, Eija (MDPI AG, 2020)Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include ...
Raita-Hakola, Anna-Maria; Pölönen, Ilkka (Copernicus Publications, 2022)The idea is to create a self-learning Minimal Learning Machine (MLM) model that is computationally efficient, easy to implement and performs with high accuracy. The study has two hypotheses. Experiment A examines the ...