(Q59020349)

English

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

scholarly article by Martin Längkvist et al published 14 April 2016 in Remote Sensing

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scholarly article

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title

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks (English)

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main subject

convolutional neural network

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1 reference

Martin Längkvist

1

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Andrey Kiselev

series ordinal

2

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Marjan Alirezaie

series ordinal

3

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Amy Loutfi

series ordinal

4

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publication date

14 April 2016

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published in

Remote Sensing

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volume

8

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issue

4

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page(s)

329

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copyright license

Creative Commons Attribution 4.0 International

start time

14 April 2016

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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reference URL

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Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

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21 January 2018

SLIC superpixels compared to state-of-the-art superpixel methods.

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https://api.crossref.org/works/10.3390%2FRS8040329

21 January 2018

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https://api.crossref.org/works/10.3390%2FRS8040329

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Wrappers for feature subset selection

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https://api.crossref.org/works/10.3390%2FRS8040329

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21 January 2018

A review of unsupervised feature learning and deep learning for time-series modeling

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Identifiers

DOI

10.3390/RS8040329

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DBLP publication ID

journals/remotesensing/LangkvistKAL16

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DBLP Dataset 2021-01-02

retrieved

28 January 2021

(Q59020349)

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

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