Feature selection for airborne LiDAR data filtering: a mutual information method with Parzon window optimization-Reference-Cited by-同舟云学术

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Feature selection for airborne LiDAR data filtering: a mutual information method with Parzon window optimization

Published:2019-12-09 Issue:3 Volume:57 Page:323-337
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Cai Zhan¹²,Ma Hongchao²³,Zhang Liang⁴

Affiliation:

1. School of Resources Environment Science and Technology, Hubei University of Science and Technology, Xianning, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. Department of Oceanography, Dalhousie University, Halifax, Canada

4. School of Natural Resources and Environment, Hubei University, Wuhan, China

Funder

Natural Science Foundation of China

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2019.1695406

Reference57 articles.

1. Feature Selection for High-Dimensional Data

2. Model transfer-based filtering for airborne LiDAR data with emphasis on active learning optimization

3. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data

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