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Nitesh Patidar & Ashok K. Keshari. (2018) A multi-model ensemble approach for quantifying sub-pixel land cover fractions in the urban environments. International Journal of Remote Sensing 39:12, pages 3939-3962.
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Petar Dimitrov, Qinghan Dong, Herman Eerens, Alexander Gikov, Lachezar Filchev, Eugenia Roumenina & Georgi Jelev. (2019) Sub-Pixel Crop Type Classification Using PROBA-V 100 m NDVI Time Series and Reference Data from Sentinel-2 Classifications. Remote Sensing 11:11, pages 1370.
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Wojciech Drzewiecki. (2017) Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping. Geodesy and Cartography 66:2, pages 171-210.
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Yiyan Zhang, Yi Xin, Qin Li, Jianshe Ma, Shuai Li, Xiaodan Lv & Weiqi Lv. (2017) Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications. BioMedical Engineering OnLine 16:1.
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Wojciech Drzewiecki. (2016) Improving sub-pixel imperviousness change prediction by ensembling heterogeneous non-linear regression models. Geodesy and Cartography 65:2, pages 193-218.
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Qingxiang Liu & John Trinder. (2016) Subpixel Mapping of Multispectral Images Using Markov Random Field With Graph Cut Optimization. IEEE Geoscience and Remote Sensing Letters 13:10, pages 1507-1511.
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Michiel Stas, Jos Van Orshoven, Qinghan Dong, Stien Heremans & Beier Zhang. (2016) A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT. A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT.
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