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1. Evaluation of Aerial Image Stereo Matching Methods for Forest Variable Estimation
University essay from Linköpings universitet/DatorseendeAbstract : This work investigates the landscape of aerial image stereo matching (AISM) methods suitable for large scale forest variable estimation. AISM methods are an important source of remotely collected information used in modern forestry to keep track of a growing forest's condition. READ MORE
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