Identification of wood from the Amazon by characteristics of Haralick and Neural Network: image segmentation and polishing of the surface-Reference-Cited by-同舟云学术

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Identification of wood from the Amazon by characteristics of Haralick and Neural Network: image segmentation and polishing of the surface

Published:2022-08-31 Issue:4 Volume:15 Page:234-239
ISSN:1971-7458
Container-title:iForest - Biogeosciences and Forestry
language:en
Short-container-title:iForest

Author:

de Souza Vieira GL,Moutinho da Ponte MJ,Pereira Moutinho VH,Jardim-Gonçalves R,Pantoja Lima C,de Albuquerque Vinagre MV

Publisher

Italian Society of Sivilculture and Forest Ecology (SISEF)

Subject

Nature and Landscape Conservation,Ecology,Forestry

Reference20 articles.

1. Wood recognition based on grey-level co-occurrence matrix

2. Integration of Polarimetric PALSAR Attributes and Local Geomorphometric Variables Derived from SRTM for Forest Biomass Modeling in Central Amazonia

3. Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry

4. Forest species recognition using macroscopic images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System;IEEE Access;2023

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