Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sayan Mukhopadhaya"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Uckermark, a district of the state Brandenburg, Germany is situated in one of the driest regions of Germany. The district is known for its agricultural activities and natural resources. But in recent times the district is being prone to grou
Externí odkaz:
https://doaj.org/article/54abd0920f2944d1bb0776d8bee976e1
Publikováno v:
Agriculture, Vol 12, Iss 8, p 1206 (2022)
Early warning systems help combat crop diseases and enable sustainable plant protection by optimizing the use of resources. The application of remote sensing to detect plant diseases like wheat stripe rust, commonly known as yellow rust, is based on
Externí odkaz:
https://doaj.org/article/468a85afb63c41a1b0b386c5277f952c
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1707 (2018)
In this paper, the fuzzy c-means (FCM) classifier has been studied with 12 similarity and dissimilarity measures: Manhattan distance, chessboard distance, Bray⁻Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute differen
Externí odkaz:
https://doaj.org/article/3c34c28e846a4b7d8743f587aa3a1ef6
Autor:
Sayan Mukhopadhaya, Kaushik Gupta, A. K. Basu, Anirban Mukhopadhyay, D. Mitra, Shovan Lal Chattoraj
Publikováno v:
Estuarine Biogeochemical Dynamics of the East Coast of India ISBN: 9783030689797
A geostatistical approach was used to envisage the spatial variability of the suspended particulate matter (SPM) concentration in the coastal waters of the Bay of Bengal. The study was conducted in-between Subarnarekha and Rasulpur estuary. Semivario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d040d8d98007eb26c60f36a5486e8d
https://doi.org/10.1007/978-3-030-68980-3_9
https://doi.org/10.1007/978-3-030-68980-3_9
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1707 (2018)
Remote sensing, 10(11):1707, 1-24. Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing
Volume 10
Issue 11
Remote sensing, 10(11):1707, 1-24. Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing
Volume 10
Issue 11
In this paper, the fuzzy c-means (FCM) classifier has been studied with 12 similarity and dissimilarity measures: Manhattan distance, chessboard distance, Bray&ndash
Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute
Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute
In this study, the fuzzy c- means classifier has been studied with nine other similarity and dissimilarity measures: Manhattan distance, chessboard distance, Bray-Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb94d93700f7dc7e44a1dd47fc215f01
https://doi.org/10.20944/preprints201809.0146.v1
https://doi.org/10.20944/preprints201809.0146.v1