Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features

M. Weinmann; B. Jutzi; Clément Mallet

doi:10.5194/isprsannals-II-3-181-2014

Journal articles

Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features

M. Weinmann B. Jutzi ¹ Clément Mallet ²

1 FGAN-FOM

2 MATIS - Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution

LaSTIG - Laboratoire des Sciences et Technologies de l'Information Géographique

Document type :

Journal articles

Domain :

Environmental Sciences

Computer Science [cs] / Computer Vision and Pattern Recognition [cs.CV]

Complete list of metadata

https://hal.inria.fr/hal-02384489
Contributor : Clement Mallet <>
Submitted on : Thursday, November 28, 2019 - 1:51:11 PM
Last modification on : Tuesday, May 4, 2021 - 5:56:46 PM

Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features

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Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features

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