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Exploring Deep Neural Network Models...

Sharma, Deepak.

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Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas./
Author:	Sharma, Deepak.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	83 p.
Notes:	Source: Masters Abstracts International, Volume: 80-10.
Contained By:	Masters Abstracts International80-10.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13808400
ISBN:	9781392017371

Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas.
Sharma, Deepak.

Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 83 p.

Source: Masters Abstracts International, Volume: 80-10.

Thesis (M.S.)--Rochester Institute of Technology, 2019.

This item must not be sold to any third party vendors.

The objective of this thesis is to explore Deep Learning algorithms for classifying high-resolution images. While most deep learning algorithms focus on relatively low-resolution imagery (under 400x400 pixels), very high-resolution image classification poses unique challenges. These images occur in pathology and remote sensing, but here we focus on the classification of invasive plant species. We aimed to develop a computer vision system that can provide geo-coordinates of the locations of invasive plants by processing Google Map Street View images at using finite computational resources. We explore six methods for classifying these images and compare them. Our results could significantly impact the management of invasive plant species, which pose both economic and ecological threats.

ISBN: 9781392017371Subjects--Topical Terms:

523869
Computer science.

Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas.
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245 1 0 $a Exploring Deep Neural Network Models for Classification of High-Resolution Panoramas.
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500 $a Source: Masters Abstracts International, Volume: 80-10.
500 $a Publisher info.: Dissertation/Thesis.
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502 $a Thesis (M.S.)--Rochester Institute of Technology, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The objective of this thesis is to explore Deep Learning algorithms for classifying high-resolution images. While most deep learning algorithms focus on relatively low-resolution imagery (under 400x400 pixels), very high-resolution image classification poses unique challenges. These images occur in pathology and remote sensing, but here we focus on the classification of invasive plant species. We aimed to develop a computer vision system that can provide geo-coordinates of the locations of invasive plants by processing Google Map Street View images at using finite computational resources. We explore six methods for classifying these images and compare them. Our results could significantly impact the management of invasive plant species, which pose both economic and ecological threats.
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