Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data-Reference-Cited by-同舟云学术

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

Published:2020-01-12 Issue:3 Volume:57 Page:369-394
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Sothe C.¹,De Almeida C. M.¹,Schimalski M. B.²,La Rosa L. E. C.³,Castro J. D. B.³,Feitosa R. Q.³,Dalponte M.⁴,Lima C. L.⁵,Liesenberg V.²,Miyoshi G. T.⁶,Tommaselli A. M. G.⁶^ORCID

Affiliation:

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

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

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

4. Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, San Michele all’Adige, Italy

5. Department of Geography, Santa Catarina State University (UDESC), Florianópolis, Brazil

6. Department of Cartography, São Paulo State University (UNESP), Presidente Prudente, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1712102

Reference113 articles.

1. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

2. Abadi, M., A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, et al. 2015. TensorFlow: Large-scale Machine Learning on Heterogeneous Systems. Available at: tensorflow.org. Accessed 6 Aug 2018.

3. Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR

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