Maarit Middleton

12 papers C 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecol. Informatics Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen
2024	C	`conf`	Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. IGARSS Oleg Antropov, Matthieu Molinier, Lauri Seitsonen, Alireza Hamedianfar, Maarit Middleton, Kati Laakso, Heikki Sutinen, Pauliina Liwata-Kenttälä
2024	C	`conf`	Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen
2023	—	`conf`	CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen
2023	J	`jnl`	Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods. Remote. Sens. Alireza Hamedianfar, Kati Laakso, Maarit Middleton, Tuomo Törmänen, Juha Köykkä, Johanna Torppa
2023	C	`conf`	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen
2020	J	`jnl`	Imputation of values above an upper detection limit in compositional data. Comput. Geosci. Dominika Miksová, Peter Filzmoser, Maarit Middleton
2019	J	`jnl`	Integrated Object-Based Image Analysis for semi-automated geological lineament detection in southwest England. Comput. Geosci. Christopher M. Yeomans, Maarit Middleton, Robin K. Shail, Stephen Grebby, Paul A. J. Lusty
2019	J	`jnl`	The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. Data Min. Knowl. Discov. Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala
2018	J	`jnl`	Assessing the ability to combine hyperspectral imaging (HSI) data with Mineral Liberation Analyzer (MLA) data to characterize phosphate rocks. Int. J. Appl. Earth Obs. Geoinformation Kati Laakso, Maarit Middleton, T. Heinig, R. Bärs, P. Lintinen
2016	J	`jnl`	Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala
2015	—	`conf`	Detecting stony areas based on ground surface curvature distribution. IPTA Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen