Accuracy

Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance
The high information redundancy in hyperspectral and hypertemporal Earth observation data can limit the performance of supervised …
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Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series
Mapping land use and land cover change (LULCC) over large areas at regular time intervals is a key requisite to improve our …
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Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques
Anthropogenic interventions in natural and semi-natural ecosystems often lead to substantial changes in their functioning and may …
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Import Vector Machines for Quantitative Analysis of Hyperspectral Data
In this letter we explore probabilities derived from an import vector machines (IVM) classifier as quantitative measures of class …
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