Maarit Middleton

According to our database, Maarit Middleton authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors.

Oleg Antropov, Matthieu Molinier, Lauri Seitsonen, Alireza Hamedianfar, Maarit Middleton, Kati Laakso, Heikki Sutinen, Pauliina Liwata-Kenttälä

Proceedings of the IGARSS 2024, 2024

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture.

Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.

Alireza Hamedianfar, Kati Laakso, Maarit Middleton, Tuomo Törmänen, Juha Köykkä, Johanna Torppa

Remote. Sens., October, 2023

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery.

Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland.

Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen

Proceedings of the 26th International Conference on Information Fusion, 2023

2020

Imputation of values above an upper detection limit in compositional data.

Dominika Miksová, Peter Filzmoser, Maarit Middleton

Comput. Geosci., 2020

2019

Integrated Object-Based Image Analysis for semi-automated geological lineament detection in southwest England.

Christopher M. Yeomans, Maarit Middleton, Robin K. Shail, Stephen Grebby, Paul A. J. Lusty

Comput. Geosci., 2019

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.

Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala

Data Min. Knowl. Discov., 2019

2018

Assessing the ability to combine hyperspectral imaging (HSI) data with Mineral Liberation Analyzer (MLA) data to characterize phosphate rocks.

Kati Laakso, Maarit Middleton, T. Heinig, R. Bärs, P. Lintinen

Int. J. Appl. Earth Obs. Geoinformation, 2018

2016

Detecting Terrain Stoniness From Airborne Laser Scanning Data.

Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala

Remote. Sens., 2016

2015

Detecting stony areas based on ground surface curvature distribution.

Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen

Proceedings of the 2015 International Conference on Image Processing Theory, 2015