MULTISENSOR REMOTE SENSING DATA INTEGRATION

The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor...

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Main Author: Nedim Kulo
Format: Article
Language:Bosnian
Published: Union of Associations of Geodetic Professionals in Bosnia and Herzegovina 2019-12-01
Series:Geodetski Glasnik
Subjects:
Online Access:https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf
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author Nedim Kulo
author_facet Nedim Kulo
author_sort Nedim Kulo
collection DOAJ
description The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.
first_indexed 2024-04-24T22:31:36Z
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2233-1786
language Bosnian
last_indexed 2024-04-24T22:31:36Z
publishDate 2019-12-01
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spelling doaj.art-77b597b793d64c118a0a8882f5f5163c2024-03-19T19:27:21ZbosUnion of Associations of Geodetic Professionals in Bosnia and HerzegovinaGeodetski Glasnik1512-61022233-17862019-12-01507194https://doi.org/10.58817/2233-1786.2019.53.50.71MULTISENSOR REMOTE SENSING DATA INTEGRATIONNedim Kulo0https://orcid.org/0000-0002-1014-6586University of Sarajevo, Faculty of Civil Engineering, Sarajevo, Bosnia and HerzegovinaThe integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdfremote sensingdata integrationmultisensory data integrationoptical dataradar data
spellingShingle Nedim Kulo
MULTISENSOR REMOTE SENSING DATA INTEGRATION
Geodetski Glasnik
remote sensing
data integration
multisensory data integration
optical data
radar data
title MULTISENSOR REMOTE SENSING DATA INTEGRATION
title_full MULTISENSOR REMOTE SENSING DATA INTEGRATION
title_fullStr MULTISENSOR REMOTE SENSING DATA INTEGRATION
title_full_unstemmed MULTISENSOR REMOTE SENSING DATA INTEGRATION
title_short MULTISENSOR REMOTE SENSING DATA INTEGRATION
title_sort multisensor remote sensing data integration
topic remote sensing
data integration
multisensory data integration
optical data
radar data
url https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf
work_keys_str_mv AT nedimkulo multisensorremotesensingdataintegration