المؤلفون: Yuan Zhang, Qiangzi Li, Huiping Huang, Wei Wu, Xin Du, Hongyan Wang

المصدر: Remote Sensing; Volume 9; Issue 9; Pages: 865

مصطلحات موضوعية: urban land use classification, per-field classification, remote sensing, social sensing, random forests

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/rs9090865

الاتاحة: https://doi.org/10.3390/rs9090865

المؤلفون: Pathak, Virendra, Dikshit, Onkar

المصدر: International Symposium on New Technologies for Urban Safety in Asian Mega Cities (3rd)

مصطلحات موضوعية: Backpropagation, GMLC, Per field Classification, Thresholding, Wavelet

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/18217/1/c18217.pdf; http://icus.iis.u-tokyo.ac.jp/wwwj/publications/reports/report6.htm#top; Pathak, Virendra & Dikshit, Onkar (2004) Per-field classification of Indian urban environment using IRS-1c satellite data. In International Symposium on New Technologies for Urban Safety in Asian Mega Cities (3rd), 2004-10-18 - 2004-10-19.; https://eprints.qut.edu.au/18217/; Faculty of Built Environment and Engineering; School of Urban Development

الاتاحة: https://eprints.qut.edu.au/18217/

المؤلفون: R.E.E. Jongschaap, Léon S.M. Schouten

المصدر: Agronomy for Sustainable Development 25 (2005)
Agronomy for Sustainable Development, 25, 481-489

مصطلحات موضوعية: Synthetic aperture radar, Space technology, Environmental Engineering, 010504 meteorology & atmospheric sciences, growth, agricultural crop, PRI Agrosysteemkunde, 01 natural sciences, Multispectral pattern recognition, sar, 0105 earth and related environmental sciences, Remote sensing, 2. Zero hunger, Soil map, accuracy, Simulation modeling, 04 agricultural and veterinary sciences, quantification, radar backscatter, Remote sensing (archaeology), 040103 agronomy & agriculture, Spatial ecology, 0401 agriculture, forestry, and fisheries, Environmental science, Agrosystems, Scale (map), Agronomy and Crop Science, per-field classification

وصف الملف: application/pdf; application/octet-stream

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ed4188a7a6a3a82f6aa3954d760fe8f
https://doi.org/10.1051/agro:2005048

المؤلفون: Çaliş N., Erol H.

المساهمون: Çukurova Üniversitesi

مصطلحات موضوعية: average Bhattacharyya distance, Gaussian mixture discriminant analysis, per-field classification, per-pixel classification, supervised classification

Relation: Journal of Applied Statistics; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://dx.doi.org/10.1080/02664763.2012.702263; https://hdl.handle.net/20.500.12605/10202; 39; 10; 2129; 2140

الاتاحة: https://hdl.handle.net/20.500.12605/10202
https://doi.org/10.1080/02664763.2012.702263

المؤلفون: Forster, Dionys, Kellenberger, Tobias Walter, Buehler, Yves, Lennartz, Bernd

مصطلحات موضوعية: field boundary, high-pass filter, high spatial resolution satellite data, object-oriented classification, per-field classification

Relation: Geocarto International--Geocarto Int.--journals:4085--1010-6049--1752-0762; eawag:16275; journal id: journals:4085; e-issn: 1752-0762; ut: 000208630000002; scopus: 2-s2.0-77952604955

الاتاحة: https://doi.org/10.1080/10106040903243416

المؤلفون: Hamza Erol, Nazif Çaliş

المساهمون: Çukurova Üniversitesi

مصطلحات موضوعية: Statistics and Probability, Multiple discriminant analysis, supervised classification, Covariance matrix, business.industry, average Bhattacharyya distance, Multispectral image, Pattern recognition, Multivariate normal distribution, Linear discriminant analysis, Mixture model, Gaussian mixture discriminant analysis, per-pixel classification, Optimal discriminant analysis, Computer Science::Computer Vision and Pattern Recognition, Statistics, Bhattacharyya distance, Artificial intelligence, Statistics, Probability and Uncertainty, business, per-field classification, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201305dc6a465b0a9843bc486024d39b
https://aperta.ulakbim.gov.tr/record/87041

المؤلفون: Berberoglu S., Lloyd C.D., Atkinson P.M., Curran P.J.

المساهمون: Çukurova Üniversitesi

مصطلحات موضوعية: Artificial neural network, Per-field classification, Variogram, info, geo

Relation: https://hdl.handle.net/20.500.12605/21584

الاتاحة: https://hdl.handle.net/20.500.12605/21584