Mr. Yao Wang Profile

Yao Wang

at Wuhan Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 26 October 2013 Paper

A new filtering approach of lidar data based on topographic change detection

Xiaodong Zhang, Peng Chen, Biao Sun, Yao Wang

Proceedings Volume 8917, 89170R (2013) https://doi.org/10.1117/12.2031162

KEYWORDS: LIDAR, Clouds, Error analysis, Remote sensing, Optical filters, Tin, Associative arrays, Vegetation, Laser processing, Detection and tracking algorithms

Read Abstract +

Filtering is a key way to classify ground and non-ground points from LiDAR data. Current LiDAR filtering methods, implemented mostly through single LiDAR point cloud only, lack real data source references, subsequently there may be many errors. In view of this situation, this paper presents a new approach based on topographic change detection for airborne LiDAR filtering. In this method, LiDAR point cloud data are accurately registered with existing DEM data and harmonization to the same coordinate system. Then, we implement grid-based organization of LiDAR point cloud data to make corresponding regions of LiDAR point cloud data and existing DEM data correspond to each other. Finally, we filter LiDAR data based on topographic change detection. In order to verify the algorithm, two types of data with different terrain characteristics-urban and mountain were tested. The experimental results indicate that the approach put forward in this paper is effective in filtering out non-ground points from both urban and mountainous areas, while retaining topographic details.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years