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A Novel Multi-Scale Attention PFE-UNet for Forest Image Segmentation

Autor: Hongbo Mu, Mingyu Gao, Hong Yang, Dawei Qi, Jianfeng Chen, Haiming Ni, Boyang Zhang

Publikováno v: Forests
Volume 12
Issue 7
Forests, Vol 12, Iss 937, p 937 (2021)

The precise segmentation of forest areas is essential for monitoring tasks related to forest exploration, extraction, and statistics. However, the effective and accurate segmentation of forest images will be affected by factors such as blurring and d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9edbe393531debc46062b5e69cfc02b

A featured-based strategy for stereovision matching in sensors with fish-eye lenses for forest environments

Autor: José J. Ruz, P. J. Herrera, María Guijarro, Fernando Montes, Jesús Manuel de la Cruz, Gonzalo Pajares

Publikováno v: Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
Sensors, Vol 9, Iss 12, Pp 9468-9492 (2009)
Sensors; Volume 9; Issue 12; Pages: 9468-9492
Sensors (Basel, Switzerland)
INIA: Repositorio de Resultados de Investigación del INIA

This paper describes a novel feature-based stereovision matching process based on a pair of omnidirectional images in forest stands acquired with a stereovision sensor equipped with fish-eye lenses. The stereo analysis problem consists of the followi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe03ea00a2e4fb8091273385a68b403
https://hdl.handle.net/20.500.12792/2098

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