Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data
نویسندگان
چکیده
منابع مشابه
Support Vector Machines Regression for the Estimation of Forest Stand Parameters Using Airborne Laser Scanning
Airborne laser scanning is nowadays widely used for the estimation of forest stand parameters. Prediction models have to deal with high dimensional laser data sets as well as limited field calibration data. This problem is enhanced in mountainous areas where forest is highly heterogeneous and field data collection costly. Artificial neural network models and support vector regression (SVR) have...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2019
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2018.2883495