A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data: Fid-Bau Portal

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A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

Chen, Gang

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A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

Chen, Gang

A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

Chen, Gang

Access

Check availability in my library

Order at Subito €

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Document information

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Document information

Title:

A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

Contributors:

Chen, Gang (author) / Hay, Geoffrey J

Published in:

Photogrammetric engineering & remote sensing ; 77

Publication date:

2011

ISSN:

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Geodäsie , Zeitschrift , Fernerkundung , Fotogrammetrie , Geoinformation , Satellitengeodäsie

Classification:

BKL: 74.41 / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie / 38.03
Local classification TIB: 770/3220
RVK: RA 4132.

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