Automatic tuning of segmentation parameters for tree crown delineation with VHR imagery-Reference-Cited by-同舟云学术

Automatic tuning of segmentation parameters for tree crown delineation with VHR imagery

Published:2019-11-14 Issue:19 Volume:36 Page:2241-2259
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Sothe Camile¹,de Almeida Cláudia Maria¹,Schimalski Marcos Benedito²,Liesenberg Veraldo²,Diaz Pedro Achanccaray³

Affiliation:

1. Remote Sensing Division, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil

2. Department of Forest Engineering, Santa Catarina State University (UDESC), Lages, SC, Brazil

3. Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro (PUC), Rio de Janeiro, RJ, Brazil

Funder

Brazilian Institute for Space Research-INPE, the Coordination for the Improvement of Higher Education Personnel-CAPES

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2019.1690056

Reference62 articles.

1. Achanccaray PMD, Quirita VAA, Happ PN, Feitosa RQ. 2016. SPT 3.1.0 segmentation parameters tuner user guide. http://www.lvc.ele.puc-rio.br/downloads/arquivos_download/User_Guide_3.1.0.pdf.

2. Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data

3. The genetics and conservation of Araucaria angustifolia: I. Genetic structure and diversity of natural populations by means of non-adaptive variation in the state of Santa Catarina, Brazil

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