Impervious Surface Mapping Using Robust Depth Minimum Vector Variance Regression
European Journal of Sustainable Development, 2017•ecsdev.org
This paper proposes a reliable minimum vector variance regression algorithm for robust
supervised impervious mapping. The mapping is done with a conventional two phase
process; training and mapping process. The outcome of training process is the robust
regression models useful for the knowledge base of mapping land cover. The robust
regression model is built from the existing
supervised impervious mapping. The mapping is done with a conventional two phase
process; training and mapping process. The outcome of training process is the robust
regression models useful for the knowledge base of mapping land cover. The robust
regression model is built from the existing
Abstract
This paper proposes a reliable minimum vector variance regression algorithm for robust supervised impervious mapping. The mapping is done with a conventional two phase process; training and mapping process. The outcome of training process is the robust regression models useful for the knowledge base of mapping land cover. The robust regression model is built from the existing
ecsdev.org
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