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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Identification of ornamental crab apples by pages and petiole sections.

Hamilton, Tom Sherman 01 January 1962 (has links) (PDF)
No description available.
2

Experimental studies in Carex section Acutae

Faulkner, John Stewart January 1970 (has links)
No description available.
3

Identificação e estimativa da altura de árvores em imagens de satélite e do Google Street View / Tree image identification and estimation in satellite images and Google Street View

Lima, Heuber Gustavo Frazao de 20 December 2016 (has links)
Submitted by Erika Demachki (erikademachki@gmail.com) on 2017-01-18T17:05:17Z No. of bitstreams: 3 Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 01.pdf: 19496894 bytes, checksum: 2ff8c665e276bf1cffde555152883c4f (MD5) Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 02.pdf: 12962376 bytes, checksum: 081b03c3a1a66f341203ed645575dc13 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-01-19T10:33:34Z (GMT) No. of bitstreams: 3 Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 01.pdf: 19496894 bytes, checksum: 2ff8c665e276bf1cffde555152883c4f (MD5) Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 02.pdf: 12962376 bytes, checksum: 081b03c3a1a66f341203ed645575dc13 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-01-19T10:33:34Z (GMT). No. of bitstreams: 3 Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 01.pdf: 19496894 bytes, checksum: 2ff8c665e276bf1cffde555152883c4f (MD5) Dissertação - Heuber Gustavo Frazao de Lima - 2016 - parte 02.pdf: 12962376 bytes, checksum: 081b03c3a1a66f341203ed645575dc13 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-12-20 / Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG / The electrical distribution is a critical activity since many people depend of this service. Faults in the distribution system occur from several factors that can damage the system and therefore interrupt the supply of energy. Among the various factors that may cause problems this work proposes a automatic detection of trees near or even in the distribution network. In order to avoid that the trees to force or even rupture of the distribution cables, are made the pruning of the trees that have some kind of risk to the network. However, this activity is usually manual and teams must sift through all the network for problems. The main objective of this work is to propose a process, based on computer vision, which allows the automated identification of nearby trees or under the power distribution network from aerial images provided by Google Earth and even estimate the height of the same from 2D Google Street View images. / A distribuição de energia elétrica é uma atividade fundamental, já que muitas pessoas dependem deste serviço. Falhas no sistema de distribuição ocorrem a partir de vários fatores que podem danificar o sistema e, portanto, interromper o fornecimento de energia elétrica. Dentre os vários fatores que podem causar problemas este trabalho propõe a detecção automática de árvores perto ou mesmo sob na rede de distribuição. A fim de evitar que as árvores possam forçar ou mesmo causar a ruptura dos cabos de distribuição, são feitas as podas das árvores que apresentam algum tipo de risco para a rede. No entanto, essa atividade é geralmente o manual fazendo com que as equipes necessitem vasculhar toda a rede para identificar os problemas. O principal objetivo deste trabalho é propor um processo, baseado em visão computacional, que permite a identificação automática de árvores próximas ou sob a rede de distribuição de energia a partir de imagens aéreas fornecidas pelo Google Earth, Google Maps e ainda estimar a altura das mesmas a partir de imagens 2D do Google Street View.

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