2011
DOI: 10.1080/01431161.2011.616552
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Comparison of multisource image fusion methods and land cover classification

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Cited by 61 publications
(29 citation statements)
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“…Most available high spectral resolution sensors acquire data with a relatively coarse spatial resolution, limiting their applications in areas where vegetation appears in small patches (Zhang 2015). Image fusion combines images from different platforms with minimal loss of the original data, potentially providing a balance between temporal, spectral, and spatial resolution for image classification (Amarsaikhan et al 2011;Zhang 2010). Additionally, the use of unmanned aerial systems could deliver very high-resolution imagery for monitoring native invasives.…”
Section: Discussionmentioning
confidence: 99%
“…Most available high spectral resolution sensors acquire data with a relatively coarse spatial resolution, limiting their applications in areas where vegetation appears in small patches (Zhang 2015). Image fusion combines images from different platforms with minimal loss of the original data, potentially providing a balance between temporal, spectral, and spatial resolution for image classification (Amarsaikhan et al 2011;Zhang 2010). Additionally, the use of unmanned aerial systems could deliver very high-resolution imagery for monitoring native invasives.…”
Section: Discussionmentioning
confidence: 99%
“…Very often a high resolution panchromatic image is integrated with a low resolution multispectral image thus improving interpretation and analysis of the natural and man-made objects. In other words, the image fusion is the integration of different digital images in order to create a new image and obtain more information than can be separately derived from any of them [9,20,21]. In the present study, for the urban areas, the SAR image provides structural information about buildings and street alignment due to the double bounce effect, while the optical image provides the information about the spectral variations of different urban features.…”
Section: Image Fusionmentioning
confidence: 99%
“…It is clear that the combined application of optical and SAR data setscan provide unique information for different thematic studies, because passive sensor images will represent spectral variations of various surface features, whereas microwave data with their penetrating capabilities can provide some additional information. For example, in urban environment the optical images provide the information about the spectral variations of the different urban features, whereas the radar images provide structural information about buildings and street alignment owing to the double bounce scattering [9].…”
Section: Introductionmentioning
confidence: 99%
“…Image fusion techniques utilizing SAR and multispectral data sources can significantly improve the interpretation and classification of land cover based maps (PAUL et al 2002;HABOUDANE et al 2002;KÄÄB 2005;AMARSAIKHAN et al 2011).…”
Section: Geospatial Techniques To Detect Debris Covered Glaciers and mentioning
confidence: 99%