Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data-Reference-Cited by-同舟云学术

Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data

Published:2019-03-05 Issue:14 Volume:40 Page:5339-5365
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Aval Josselin¹,Fabre Sophie¹,Zenou Emmanuel²,Sheeren David³,Fauvel Mathieu³,Briottet Xavier¹^ORCID

Affiliation:

1. ONERA-DOTA, University of Toulouse, Toulouse, France

2. ISAE-SUPAERO, University of Toulouse, Toulouse, France

3. DYNAFOR, University of Toulouse, INRA, Castanet-Tolosan, France

Funder

French Aerospace Lab and the Rgion Occitanie

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1579937

Reference52 articles.

1. Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood

2. Adeline, K. 2014. “Classification des matériaux urbains en présence de végétation éparse par télédétection hyperspectrale à haute résolution spatiale.” PhD diss., Toulouse, ISAE.

3. Urban tree species mapping using hyperspectral and lidar data fusion

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