Histogram matching based mosaicking of SPOT 6/7 satellite images

Hakan Kartal; Ugur Alganci; Elif Sertel

doi:10.1109/RAST.2019.8767868

Histogram matching based mosaicking of SPOT 6/7 satellite images

Hakan Kartal, Ugur Alganci, Elif Sertel

Department of Geomatics Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This research aims to evaluate a histogram matching based custom mosaicking process on different land cover land use characteristics using multi-temporal satellite images. Three different study regions located in different parts of Turkey are selected and SPOT 6/7 satellite images belonging to these regions are used in analysis. Reference histogram data obtained from 2018 dated Sentinel 2 mosaic of Turkey. This dataset is used for histogram matching after conducting post process to enhance the visual representation of the study region. Feathering effort is operated on the target images after histogram matching step in order to eliminate dissimilarities between geometric shapes and introduce seamless transition in overlapping areas. Accuracy assessment is performed both by visual interpretation and by calculating the weighted average of differences between reference and matched histograms. Results proved that, histogram matching based method proposed in this study provides practical and efficient mosaicking approach, which can be used for producing high-resolution and large coverage satellite image dataset.

Original language	English
Title of host publication	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
Editors	S. Menekay, O. Cetin, O. Alparslan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	451-455
Number of pages	5
ISBN (Electronic)	9781538694480
DOIs	https://doi.org/10.1109/RAST.2019.8767868
Publication status	Published - Jun 2019
Event	9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Duration: 11 Jun 2019 → 14 Jun 2019

Publication series

Name	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Conference

Conference	9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/Territory	Turkey
City	Istanbul
Period	11/06/19 → 14/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

histogram matching
mosaicking
SPOT 6/7 satellite images

Access to Document

10.1109/RAST.2019.8767868

Cite this

Kartal, H., Alganci, U., & Sertel, E. (2019). Histogram matching based mosaicking of SPOT 6/7 satellite images. In S. Menekay, O. Cetin, & O. Alparslan (Eds.), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 (pp. 451-455). Article 8767868 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2019.8767868

Kartal, Hakan ; Alganci, Ugur ; Sertel, Elif. / Histogram matching based mosaicking of SPOT 6/7 satellite images. Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. editor / S. Menekay ; O. Cetin ; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 451-455 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

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title = "Histogram matching based mosaicking of SPOT 6/7 satellite images",

abstract = "This research aims to evaluate a histogram matching based custom mosaicking process on different land cover land use characteristics using multi-temporal satellite images. Three different study regions located in different parts of Turkey are selected and SPOT 6/7 satellite images belonging to these regions are used in analysis. Reference histogram data obtained from 2018 dated Sentinel 2 mosaic of Turkey. This dataset is used for histogram matching after conducting post process to enhance the visual representation of the study region. Feathering effort is operated on the target images after histogram matching step in order to eliminate dissimilarities between geometric shapes and introduce seamless transition in overlapping areas. Accuracy assessment is performed both by visual interpretation and by calculating the weighted average of differences between reference and matched histograms. Results proved that, histogram matching based method proposed in this study provides practical and efficient mosaicking approach, which can be used for producing high-resolution and large coverage satellite image dataset.",

keywords = "histogram matching, mosaicking, SPOT 6/7 satellite images",

author = "Hakan Kartal and Ugur Alganci and Elif Sertel",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International Conference on Recent Advances in Space Technologies, RAST 2019 ; Conference date: 11-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/RAST.2019.8767868",

language = "English",

series = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Kartal, H, Alganci, U & Sertel, E 2019, Histogram matching based mosaicking of SPOT 6/7 satellite images. in S Menekay, O Cetin & O Alparslan (eds), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019., 8767868, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 451-455, 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Istanbul, Turkey, 11/06/19. https://doi.org/10.1109/RAST.2019.8767868

Histogram matching based mosaicking of SPOT 6/7 satellite images. / Kartal, Hakan; Alganci, Ugur ; Sertel, Elif.
Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. ed. / S. Menekay; O. Cetin; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. p. 451-455 8767868 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This research aims to evaluate a histogram matching based custom mosaicking process on different land cover land use characteristics using multi-temporal satellite images. Three different study regions located in different parts of Turkey are selected and SPOT 6/7 satellite images belonging to these regions are used in analysis. Reference histogram data obtained from 2018 dated Sentinel 2 mosaic of Turkey. This dataset is used for histogram matching after conducting post process to enhance the visual representation of the study region. Feathering effort is operated on the target images after histogram matching step in order to eliminate dissimilarities between geometric shapes and introduce seamless transition in overlapping areas. Accuracy assessment is performed both by visual interpretation and by calculating the weighted average of differences between reference and matched histograms. Results proved that, histogram matching based method proposed in this study provides practical and efficient mosaicking approach, which can be used for producing high-resolution and large coverage satellite image dataset.

AB - This research aims to evaluate a histogram matching based custom mosaicking process on different land cover land use characteristics using multi-temporal satellite images. Three different study regions located in different parts of Turkey are selected and SPOT 6/7 satellite images belonging to these regions are used in analysis. Reference histogram data obtained from 2018 dated Sentinel 2 mosaic of Turkey. This dataset is used for histogram matching after conducting post process to enhance the visual representation of the study region. Feathering effort is operated on the target images after histogram matching step in order to eliminate dissimilarities between geometric shapes and introduce seamless transition in overlapping areas. Accuracy assessment is performed both by visual interpretation and by calculating the weighted average of differences between reference and matched histograms. Results proved that, histogram matching based method proposed in this study provides practical and efficient mosaicking approach, which can be used for producing high-resolution and large coverage satellite image dataset.

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Kartal H, Alganci U , Sertel E. Histogram matching based mosaicking of SPOT 6/7 satellite images. In Menekay S, Cetin O, Alparslan O, editors, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 451-455. 8767868. (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). doi: 10.1109/RAST.2019.8767868

Histogram matching based mosaicking of SPOT 6/7 satellite images

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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