Abstract
Tree detection and delineation has become one of the important factors that contribute to precision agriculture specifically in plantation industry and efficient forestry management. However, this requires tools and technology that would give reliable information and high accuracy data processing. Recent researches aimed at providing this goal by utilizing the advancement of available remote sensing technology and integrate various algorithms. This article reviews these researches with a focus on algorithms applied to remote-sensing imagery for the purpose of tree detection and delineation. It categorizes and evaluates those methods with the respective types of remote sensing imagery used in the area to evaluate the influence of these factors on the method. Finally, it summarizes the finding of the current algorithms, and suggests on the new development that can be expected in the future.
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