Zobrazeno 1 - 10
of 235
pro vyhledávání: '"NIIRS"'
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4121 (2023)
Accurate grading of remote sensing image interpretation is crucial for improving image classification and screening efficiency. Through extensive research, the General Image Quality Equation (GIQE) based on the National Imagery Interpretability Ratin
Externí odkaz:
https://doaj.org/article/84c8b9634be644d2b282acd14d86cfee
Akademický článek
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Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 4409-4429 (2014)
Image quality is important for taking full advantage of satellite data. As a common indicator, the National Imagery Interpretability Scale (NIIRS) is widely used for image quality assessment and provides a comprehensive representation of image qualit
Externí odkaz:
https://doaj.org/article/985ba82863d54e1982f5ca8bfcb2899b
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 56:4049-4055
In Part I [1] , a Korsch-based optical telescope design of a very high resolution earth observation satellite with a ground sampling distance of 25 cm is presented. In this part II, a system performance evaluation of the Korsch optical design employi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29411d3106b63e4041f0e39f70db1b5
https://doi.org/10.1109/taes.2020.2991622
https://doi.org/10.1109/taes.2020.2991622
Autor:
Martin Lakota
Publikováno v:
Promet (Zagreb), Vol 18, Iss 3, Pp 179-183 (2006)
In this work modem navigation and Adriatic control demandcharacteristics are developed. It correlates the modemnavigation characteristics and the Adriatic sea control. Thepresent operating procedures used for sea control are mentionedas well as the n
Externí odkaz:
https://doaj.org/article/26f0a9b0ab7d46968628a4b19674cb57
Publikováno v:
Electro-Optical and Infrared Systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV.
Model-based performance assessment is a valuable approach in the process of designing or comparing electrooptical and infrared imagers since it alleviates the need for expensive field measurement campaigns. TRM4 serves this purpose and is primarily u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e446433cba9eec7be6a320f1702f76d
https://doi.org/10.1117/12.2597723
https://doi.org/10.1117/12.2597723
Autor:
Chris Durell, Stephen Schiller, Emmett J. Ientilucci, Will Arnold, David Conran, Jeff Holt, Brandon Russell
Publikováno v:
IGARSS
Defining resolution within satellite imagery is normally achieved through the observation of edge targets or is visually graded (e.g., National Imagery Interpretability Rating Scale (NIIRS)) for the level of detail observed. These methods are signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ff7175ae6ebd839396496102ac6917
https://doi.org/10.1109/igarss47720.2021.9554436
https://doi.org/10.1109/igarss47720.2021.9554436
Autor:
A. Q. Valenzuela, J. C. G. Reyes
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 493-500 (2019)
The General Image Quality Equation (GIQE) is an analytical tool derived by regression modelling that is routinely employed to gauge the interpretability of raw and processed images, computing the most popular quantitative metric to evaluate image qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddf82f0a7a7fe9dd5f49523ed0071376
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/493/2019/isprs-annals-IV-2-W5-493-2019.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/493/2019/isprs-annals-IV-2-W5-493-2019.pdf
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687922
ICPR Workshops (8)
ICPR Workshops (8)
Motion imagery interpretability is commonly represented by the Video National Imagery Interpretability Rating Scale (VNIIRS), which is a subjective metric based on human analysts’ visual assessment. Therefore, VNIIRS is a very time-consuming task.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a429db58ea66c02ea4737dfb4077b1
https://doi.org/10.1007/978-3-030-68793-9_6
https://doi.org/10.1007/978-3-030-68793-9_6
Publikováno v:
AIPR
The current drive toward incorporating machine learning (ML) models within automated closed-loop workflows renews existing issues for image quality prediction; specifically, maintaining the operator-in-the-loop's trust in system operation. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d3d6ac4c6867b5a74ac8fe554f14585
https://doi.org/10.1109/aipr50011.2020.9425256
https://doi.org/10.1109/aipr50011.2020.9425256