A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra

Author： Gholizadeh Asa Borůvka Luboš Saberioon Mohammadmehdi Vašát Radim

Publisher： MDPI

E-ISSN： 2072-4292|8|4|341-341

ISSN： 2072-4292

Source： Remote Sensing, Vol.8, Iss.4, 2016-04, pp. : 341-341

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms

By Li Xianju Cheng Xinwen Chen Weitao Chen Gang Liu Shengwei

Remote Sensing, Vol. 7, Iss. 8, 2015-07 ,pp. : 9705-9726

MDPI

Access to resources Recommend Favorite

Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms

By Omer Galal Mutanga Onisimo Abdel-Rahman Elfatih M. Adam Elhadi

Remote Sensing, Vol. 8, Iss. 4, 2016-04 ,pp. : 324-324

MDPI

Access to resources Recommend Favorite

Extracting Canopy Surface Texture from Airborne Laser Scanning Data for the Supervised and Unsupervised Prediction of Area-Based Forest Characteristics

By Niemi Mikko T. Vauhkonen Jari

Remote Sensing, Vol. 8, Iss. 7, 2016-07 ,pp. : 582-582

MDPI

Access to resources Recommend Favorite

Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS)

By Nawar Said Buddenbaum Henning Hill Joachim Kozak Jacek

Remote Sensing, Vol. 6, Iss. 11, 2014-11 ,pp. : 10813-10834

MDPI

Access to resources Recommend Favorite

Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning

By Zhu Sijie Lei Bin Wu Yirong

Remote Sensing, Vol. 10, Iss. 2, 2018-02 ,pp. : 323-323

MDPI

Access to resources Recommend Favorite