Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Relative Radiometric Normalization"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2272 (2024)
Relative radiometric normalization (RRN) is a critical pre-processing step that enables accurate comparisons of multitemporal remote-sensing (RS) images through unsupervised change detection. Although existing RRN methods generally have promising res
Externí odkaz:
https://doaj.org/article/0ed8b4a2d95049c7837b654d99676bc7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5797-5812 (2023)
Radiometric consistency of multitemporal satellite observations is affected by sensor stability and scene related issues. Relative radiometric normalization (RRN) is a widely used method to reduce these radiometric differences, its performance depend
Externí odkaz:
https://doaj.org/article/4d83d3b1c42540e297d67cc2f6c9ec5d
Publikováno v:
Geo-spatial Information Science, Vol 23, Iss 3, Pp 237-247 (2020)
Radiometric normalization, as an essential step for multi-source and multi-temporal data processing, has received critical attention. Relative Radiometric Normalization (RRN) method has been primarily used for eliminating the radiometric inconsistenc
Externí odkaz:
https://doaj.org/article/e273d29d9bfc4775a6488747658e2001
Autor:
Lino Garda Denaro, Chao-Hung Lin
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 976-986 (2020)
Radiometric normalization is a fundamental preprocessing step for the analysis of multitemporal and multisensor satellite images. Some of the previous radiometric normalization studies addressed the elimination of spectral differences between bitempo
Externí odkaz:
https://doaj.org/article/cd20a3571d4e4dc4b22c96037f0b6a0a
Akademický článek
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Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1777 (2022)
Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, considering an identical l
Externí odkaz:
https://doaj.org/article/f6e38d3ec13b46c8a8964f962748415f
Akademický článek
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Autor:
Taeheon Kim, Youkyung Han
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3990 (2021)
Multitemporal very-high-resolution (VHR) satellite images are used as core data in the field of remote sensing because they express the topography and features of the region of interest in detail. However, geometric misalignment and radiometric dissi
Externí odkaz:
https://doaj.org/article/f021ccc1950b448da9db62c21852cf57
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3125 (2021)
As the number of cross-sensor images increases continuously, the surface reflectance of these images is inconsistent at the same ground objects due to different revisit periods and swaths. The surface reflectance consistency between cross-sensor imag
Externí odkaz:
https://doaj.org/article/d2fbc821b6ce401cbc67c015989a4f80
Relative radiometric normalization (RRN) minimizes radiometric differences among images caused by inconsistencies of acquisition conditions rather than changes in surface. Scale invariant feature transform (SIFT) has the ability to automatically extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2550b52b265809b21b7bd6c21da290
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-95662
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-95662