Classification of terrain using multi-resolution satellite/aerial imagery and lidar data

Brian R. Kocher; Alan M. Thomas

doi:10.1117/12.850575

28 April 2010 Classification of terrain using multi-resolution satellite/aerial imagery and lidar data

Brian R. Kocher, Alan M. Thomas

Proceedings Volume 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010; 771004 (2010) https://doi.org/10.1117/12.850575
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

High resolution LiDAR data is used to augment spectral data to improve resolution/accuracy. Digital elevation information, texture information, and spectral data are all combined into a single dataset and different clustering algorithms are used on the raster information and compared with clusters of spectral data alone. Long term goals of the work are to find efficient and effective methods of combining different data sets of varying resolution from different sources into a single dataset for analysis to improve data and classification resolution and accuracy.

Citation Download Citation

Brian R. Kocher and Alan M. Thomas "Classification of terrain using multi-resolution satellite/aerial imagery and lidar data", Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 771004 (28 April 2010); https://doi.org/10.1117/12.850575

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