Application of back-propagation neural network interpolation method supported by lidar data and geomorphic unit classification

Xiaoping Ge; Tingting Zhang; Ang Zhu; Xianrong Ding; Ligang Cheng; Qing Li

doi:10.1117/12.912602

24 October 2011 Application of back-propagation neural network interpolation method supported by lidar data and geomorphic unit classification

Xiaoping Ge, Tingting Zhang, Ang Zhu, Xianrong Ding, Ligang Cheng, Qing Li

Author Affiliations +

Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 82861T (2011) https://doi.org/10.1117/12.912602
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China

Abstract

In tidal flat terrain of the yellow sea radial sand ridges in eastern China, tidal creeks with water are regarded as the "blind area" of LiDAR surveys. These areas are also hard to be surveyed efficiently and cheaply by traditional surveying methods. To solve the problems of high cost and great effort, this paper researches a Back-Propagation neural network interpolation method, supported by LiDAR data and geomorphic unit classification. The interpolation model structure contains 2 hidden layers with 6 neurons in every layer. This research consists of the following steps: (1) geomorphic unit classification by analyzing dynamic geomorphology of tidal creeks, (2) terrain spatial regularity learning by analyzing a large set of LiDAR data, (3) model building based on the Back-Propagation neural network technique, (4) sample data training with similar tidal creek geomorphic unit data, (5) model structure and parameters determination, (6) testing by comparing the results with the survey data. The test results show that the developed methodology is effective in producing the terrain lacking LiDAR DEM in tidal flats.

Citation Download Citation

Xiaoping Ge, Tingting Zhang, Ang Zhu, Xianrong Ding, Ligang Cheng, and Qing Li "Application of back-propagation neural network interpolation method supported by lidar data and geomorphic unit classification", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82861T (24 October 2011); https://doi.org/10.1117/12.912602

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available