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Cited by 68Remote-Sensing Image ClassificationRemote Sensing and Land UseSatellite Image Processing and Photogrammetry

The DOI matches its Crossref record; 88 of the 93 references it cites were found in a registry or an index.

Remote Sensing Satellite Image Processing Techniques for Image Classification: A Comprehensive Survey

Open access
D., Sowmya, Deepa, P., K., Venugopal·2017·International Journal of Computer Applications

Abstract

This paper is a brief survey of advance technological aspects of Digital Image Processing which are applied to remote sensing images obtained from various satellite sensors.In remote sensing, the image processing techniques can be categories in to four main processing stages: Image preprocessing, Enhancement, Transformation and Classification.Image pre-processing is the initial processing which deals with correcting radiometric distortions, atmospheric distortion and geometric distortions present in the raw image data.Enhancement techniques are applied to preprocessed data in order to effectively display the image for visual interpretation.It includes techniques to effectively distinguish surface features for visual interpretation.Transformation aims to identify particular feature of earth's surface and classification is a process of grouping the pixels, that produces effective thematic map of particular land use and land cover.

Overview

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Registry

Crossref · 10.5120/ijca2017913306

Cites

88 of 88 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Cited by

Metadata

Authors
D., S., Deepa, P., & K., V.
Affiliations
Bangalore University (IN)
Venue
International Journal of Computer Applications
Published
2017-03-15
Volume
161
Issue
11
Pages
24-37
ISSN
0975-8887 (ISSN-L)
OpenAlex
W2617111643
Cited by
65
References
93
Citations by year
2026: 7 · 2025: 10 · 2024: 10 · 2023: 11 · 2022: 10 · 2021: 5 · 2020: 11 · 2019: 1
FWCI
2.72
Type
journal article
Language
en
Open access
Locations
  • International Journal of Computer Applications (publishedVersion)
  • ePrints@Bangalore University (Bangalore University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
  • Social Sciences › Geography, Planning and Development › Remote Sensing and Land Use
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Satellite Image Processing and Photogrammetry
Keywords
remote sensing image processing, image classification, image preprocessing, image enhancement, image transformation, radiometric correction, atmospheric distortion correction, geometric distortion correction, visual interpretation, land use and land cover mapping

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.