Deriving leafless trees and urban structures from the DLR 3K airborne camera system for the city of Braunschweig

Thomas Krauß

doi:10.1117/12.2534440

27 June 2019 Deriving leafless trees and urban structures from the DLR 3K airborne camera system for the city of Braunschweig

Thomas Krauß

Author Affiliations +

Proceedings Volume 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019); 1117416 (2019) https://doi.org/10.1117/12.2534440
Event: Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 2019, Paphos, Cyprus

Abstract

In this work we present a method for detecting leafless trees in digital elevation models derived from high resolution aerial imagery. No spectral classification as usually conducted is needed for our approach. This makes the method applicable for stereo imagery using only panchromatic or RGB imagery or even acquisitions in early spring showing trees without foliage. The method is based on statistics of densely calculated aspect and slope angles in the DSM. Using a segmentation based on the watershed transformation gives areas large enough for reasonable statistics but also limited to individual tree or building objects. Removing the detected trees from the DSM allows the calculation of a building mask which can in turn be used for the urban modeling of buildings. The detected trees will be modeled in parallel and the models joined together afterwards. The development of the method and the evaluation is based on images acquired with the 3K camera system developed by DLR in early spring 2015 over the german city of Braunschweig. After description of the algorithm the selection of the main classification parameter is shown together with a manual quality assessment.

Citation Download Citation

Thomas Krauß "Deriving leafless trees and urban structures from the DLR 3K airborne camera system for the city of Braunschweig", Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 1117416 (27 June 2019); https://doi.org/10.1117/12.2534440

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

RGB color model

Cameras

Gaussian filters

Near infrared

Imaging systems

Roads

Statistical analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years