Back to Results
First PageMeta Content
Photogrammetry / Computer vision / Measurement / Surveying / ISPRS / Support vector machine / Feature selection / Random forest / Remote sensing / Statistics / Cartography / Machine learning


CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS M. Weinmanna , A. Schmidtb , C. Malletc , S. Hinza , F. Rottensteinerb , B. Jutzia a Institute of Photogrammetry and Remote Sensing,
Add to Reading List

Document Date: 2015-02-12 05:15:31

Open Document

File Size: 448,25 KB

Share Result on Facebook

City

Heidelberg / Hannover / XXXIX / Lodha / XXXVIII / Oakland / XXXIV / Paris / /

Company

Neural Information Processing Systems / J. M. and Iverson A. E. / D. and Lichti D. D. / non-Associative Markov Networks / 3M / Intelligent Autonomous Systems / Lafarge / /

Country

Germany / France / United States / /

/

Facility

Karlsruhe Institute of Technology / Institute of Photogrammetry / University of California / CMU campus / /

IndustryTerm

mobile mapping devices / energy function / lidar data processing / radius search / segmentation algorithm / straightforward solution / Neighborhood systems / urban infrastructure / energy functions / energy / /

MarketIndex

case 200 / /

NaturalFeature

Shannon / Random Forests / Wadden Sea / Random Forest / /

Organization

Institute of Photogrammetry / Institute of Technology / University of California / Berkeley / /

Person

Remote Sensing / /

Position

HB / D. J. / /

Product

Random Forest / /

ProvinceOrState

New Jersey / New Brunswick / S. K. / Nova Scotia / California / /

PublishedMedium

ACM Transactions on Graphics / The Bell System Technical Journal / Machine Learning / Journal of Machine Learning Research / Proceedings of SPIE / /

Technology

Laser / remote sensing / 3-D / segmentation algorithm / Digital Imaging / machine learning / html / Image Processing / cmp / /

URL

http /

SocialTag