Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression
نویسندگان
چکیده
منابع مشابه
Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression
Visible and near infrared (VIS-NIR) spectroscopy has been applied to estimate soil organic carbon (SOC) content with many modeling strategies and techniques, in which a crucial and challenging problem is to obtain accurate estimations using a limited number of samples with reference values (labeled samples). To solve such a challenging problem, this study, with Honghu City (Hubei Province, Chin...
متن کاملSemi-Supervised Regression using Spectral Techniques∗
Graph-based approaches for semi-supervised learning have received increasing amount of interest in recent years. Despite their good performance, many pure graph based algorithms do not have explicit functions and can not predict the label of unseen data. Graph regularization is a recently proposed framework which incorporates the intrinsic geometrical structure as a regularization term. It can ...
متن کاملSoil Organic Carbon Content and Stocks in Relation to Grazing Management in Semi-Arid Grasslands of Kenya
Rangelands cover approximately 85% of Kenya’s land mass and is a major resource for livestock farming with a considerable potential to mitigate climate change, yet these lands are stressed differently by various management. Our study aimed at determining the influence of grazing management systems (rotational, continuous and ungrazed) on soil organic carbon stocks in Yoani ranch located in the ...
متن کاملSemi-Supervised Learning through Principal Directions Estimation
We describe methods for taking into account unlabeled data in the training of a kernel-based classifier, such as a Support Vector Machines (SVM). We propose two approaches utilizing unlabeled points in the vicinity of labeled ones. Both of the approaches effectively modify the metric of the pattern space, either by using nonspherical Gaussian density estimates which are determined using EM, or ...
متن کاملHand pose estimation through semi-supervised and weakly-supervised learning
We propose a method for hand pose estimation based on a deep regressor trained on two different kinds of input. Raw depth data is fused with an intermediate representation in the form of a segmentation of the hand into parts. This intermediate representation contains important topological information and provides useful cues for reasoning about joint locations. The mapping from raw depth to seg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2017
ISSN: 2072-4292
DOI: 10.3390/rs9010029