Evaluation of Aerial Image Stereo Matching Methods for Forest Variable Estimation
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. A total of 17 AI...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Datorseende
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138166 |