Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data-Reference-Cited by-同舟云学术

Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data

Published:2009-10-16 Issue:21 Volume:30 Page:5669-5683
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Shi Wenzhong¹,Zheng Sheng¹²³,Tian Yan¹³

Affiliation:

1. a Advanced Research Center for Spatial Information Technology, Department of Land Surveying and Geo-Informatics , Hong Kong Polytechnic University , Hong Kong

2. b Institute of Intelligent Vision and Image Information, College of Electrical Engineering and Information Technology , China Three Gorges University , Yichang, 4434002, China

3. c Electronic and Information Engineering Department , Huazhong University of Science and Technology , Wuhan, 430074, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160802709237

Reference24 articles.

1. Interpolation of geophysical data using continuous global surfaces

2. Smooth fitting of geophysical data using continuous global surfaces

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