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A prologue to natural computing in remote sensing.

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Title: A prologue to natural computing in remote sensing.
Authors: Dhingra, Sakshi1 (AUTHOR) sakshi24.dhingra@gmail.com, Kumar, Dharminder2 (AUTHOR) dr_dk_kumar_02@yahoo.com
Source: Journal of Interdisciplinary Mathematics. Mar2020, Vol. 23 Issue 2, p591-605. 15p.
Subjects: Remote sensing, Remote computing, Digital images, Scientists, Computer science
Geographic Terms: Rajasthan (India)
Abstract: Nature was always one of the sources of motivation for artist, painters, musician's, scientist and many more. New growth in science and technology has given several optimization approaches that inspire the creation of greater efficient algorithms for Digital Satellite Image Classification. Different conventional classification techniques were used for satellite image classification however the outcomes got from those calculations were very little proficient to use for any genuine application. Different forms of remote sensing images and varying classification techniques are examined in this paper. Natural Computing Intelligence explores the area based on Physics, Chemistry, Geo-Sciences, Human mind and some other intelligent techniques. From these intelligent computational techniques, this paper includes some of the nature-inspired algorithms for satellite image classification of the Alwar region, Rajasthan, India. The fundamental objective of the paper is to retrieve various natural terrain features with a group of classifiers or a hybrid model for the accomplishment of better accuracy. Various parameters like Kappa Coefficient, User Accuracy, Producer Accuracy, and Overall Accuracy are used to decide the effectiveness of classification. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Interdisciplinary Mathematics is the property of Taru Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 143251436
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A prologue to natural computing in remote sensing.
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  Data: <searchLink fieldCode="AR" term="%22Dhingra%2C+Sakshi%22">Dhingra, Sakshi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sakshi24.dhingra@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Dharminder%22">Kumar, Dharminder</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dr_dk_kumar_02@yahoo.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Interdisciplinary+Mathematics%22">Journal of Interdisciplinary Mathematics</searchLink>. Mar2020, Vol. 23 Issue 2, p591-605. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+computing%22">Remote computing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+images%22">Digital images</searchLink><br /><searchLink fieldCode="DE" term="%22Scientists%22">Scientists</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Rajasthan+%28India%29%22">Rajasthan (India)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Nature was always one of the sources of motivation for artist, painters, musician's, scientist and many more. New growth in science and technology has given several optimization approaches that inspire the creation of greater efficient algorithms for Digital Satellite Image Classification. Different conventional classification techniques were used for satellite image classification however the outcomes got from those calculations were very little proficient to use for any genuine application. Different forms of remote sensing images and varying classification techniques are examined in this paper. Natural Computing Intelligence explores the area based on Physics, Chemistry, Geo-Sciences, Human mind and some other intelligent techniques. From these intelligent computational techniques, this paper includes some of the nature-inspired algorithms for satellite image classification of the Alwar region, Rajasthan, India. The fundamental objective of the paper is to retrieve various natural terrain features with a group of classifiers or a hybrid model for the accomplishment of better accuracy. Various parameters like Kappa Coefficient, User Accuracy, Producer Accuracy, and Overall Accuracy are used to decide the effectiveness of classification. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Interdisciplinary Mathematics is the property of Taru Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/09720502.2020.1731979
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 591
    Subjects:
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Remote computing
        Type: general
      – SubjectFull: Digital images
        Type: general
      – SubjectFull: Scientists
        Type: general
      – SubjectFull: Computer science
        Type: general
      – SubjectFull: Rajasthan (India)
        Type: general
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      – TitleFull: A prologue to natural computing in remote sensing.
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            NameFull: Dhingra, Sakshi
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            NameFull: Kumar, Dharminder
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          Dates:
            – D: 01
              M: 03
              Text: Mar2020
              Type: published
              Y: 2020
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            – TitleFull: Journal of Interdisciplinary Mathematics
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