Random forest in remote sensing: A review of applications and future directions M Belgiu, L Drăguţ ISPRS journal of photogrammetry and remote sensing 114, 24-31, 2016 | 5153 | 2016 |
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis M Belgiu, O Csillik Remote sensing of environment 204, 509-523, 2018 | 859 | 2018 |
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery M Belgiu, L Drǎguţ ISPRS Journal of Photogrammetry and Remote Sensing 96, 67-75, 2014 | 272 | 2014 |
Spatiotemporal image fusion in remote sensing M Belgiu, A Stein Remote sensing 11 (7), 818, 2019 | 160 | 2019 |
Ontology-based classification of building types detected from airborne laser scanning data M Belgiu, I Tomljenovic, TJ Lampoltshammer, T Blaschke, B Höfle Remote Sensing 6 (2), 1347-1366, 2014 | 142 | 2014 |
Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery M Belgiu, L Drǎguţ, J Strobl ISPRS Journal of Photogrammetry and Remote Sensing 87, 205-215, 2014 | 130 | 2014 |
Object-based time-constrained dynamic time warping classification of crops using Sentinel-2 O Csillik, M Belgiu, GP Asner, M Kelly Remote sensing 11 (10), 1257, 2019 | 99 | 2019 |
Assessing the effect of training sampling design on the performance of machine learning classifiers for land cover mapping using multi-temporal remote sensing data and google … S Shetty, PK Gupta, M Belgiu, SK Srivastav Remote Sensing 13 (8), 1433, 2021 | 69 | 2021 |
Ontologies to interpret remote sensing images: why do we need them? D Arvor, M Belgiu, Z Falomir, I Mougenot, L Durieux GIScience & remote sensing 56 (6), 911-939, 2019 | 66 | 2019 |
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping GW Gella, W Bijker, M Belgiu ISPRS journal of photogrammetry and remote sensing 175, 171-183, 2021 | 59 | 2021 |
Towards user-driven earth observation-based slum mapping M Owusu, M Kuffer, M Belgiu, T Grippa, M Lennert, S Georganos, ... Computers, environment and urban systems 89, 101681, 2021 | 47 | 2021 |
Field-level crop yield estimation with PRISMA and Sentinel-2 M Marshall, M Belgiu, M Boschetti, M Pepe, A Stein, A Nelson ISPRS Journal of Photogrammetry and Remote Sensing 187, 191-210, 2022 | 46 | 2022 |
Phenology-based sample generation for supervised crop type classification M Belgiu, W Bijker, O Csillik, A Stein International Journal of Applied Earth Observation and Geoinformation 95, 102264, 2021 | 45 | 2021 |
Towards a framework for agent-based image analysis of remote-sensing data P Hofmann, P Lettmayer, T Blaschke, M Belgiu, S Wegenkittl, R Graf, ... International Journal of Image and Data Fusion 6 (2), 115-137, 2015 | 44 | 2015 |
Coupling formalized knowledge bases with object-based image analysis M Belgiu, B Hofer, P Hofmann Remote sensing letters 5 (6), 530-538, 2014 | 40 | 2014 |
Cropland mapping from Sentinel-2 time series data using object-based image analysis O Csillik, M Belgiu Proceedings of the 20th AGILE International Conference on Geographic …, 2017 | 37 | 2017 |
Architecture and prototypical implementation of a semantic querying system for big Earth observation image bases D Tiede, A Baraldi, M Sudmanns, M Belgiu, S Lang European journal of remote sensing 50 (1), 452-463, 2017 | 25 | 2017 |
Open geospatial education M Belgiu, J Strobl, G Wallentin ISPRS International Journal of Geo-Information 4 (2), 697-710, 2015 | 24 | 2015 |
Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images WS Moola, W Bijker, M Belgiu, M Li International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 23 | 2021 |
Ontology based interpretation of very high resolution imageries–grounding ontologies on visual interpretation keys M Belgiu, J Thomas AGILE 2013—Leuven, 14-17, 2013 | 22 | 2013 |