Items related to Remote Sensing in Rio de Janeiro City
Synopsis
The city of Rio carried out a Land-cover forest classification with visual interpretation using SPOT data. This work produced a compatible thematic map in the scale 1:50,000. The scale of these maps permit to have a global vision of the land change cover but unfortunately do not correspond with the GIS of the city, which works with a scale of 1:10,000. The city searched for options to make this work automatically and quickly to get information for planning and to propose solutions. In order to solve this problem high resolution satellite data and automatic classification of Land-cover classes are needed. Consequently, images as IKONOS need to be used to produce a classification, with a scale corresponding to the GIS of the city. Pixel based classification with IKONOS data show some problems because the level of information in the data produce a lot of incorrect classified pixels. The solution to perform this classification uses the new approach that makes one pre-classification, which transforms the pixel information in objects as well as the feature in the vector representation. To carry out the segmentation and classification processes, oriented objects analysis are used.
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Remote Sensing in Rio de Janeiro City
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639057139
ISBN 13: 9783639057133
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Seller: Books Puddle, New York, NY, U.S.A.
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Condition: New. pp. 192. Seller Inventory # 263552250
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Remote Sensing in Rio de Janeiro City
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639057139
ISBN 13: 9783639057133
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand pp. 192 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam. Seller Inventory # 4295717
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Remote Sensing in Rio de Janeiro City
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639057139
ISBN 13: 9783639057133
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 192. Seller Inventory # 183552240
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Remote Sensing in Rio de Janeiro City | Automatic Land-Cover Classification Derived from High-Resolution IKONOS Satellite Image in the Urban Atlantic Forest
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Remote Sensing in Rio de Janeiro City | Automatic Land-Cover Classification Derived from High-Resolution IKONOS Satellite Image in the Urban Atlantic Forest | Luiz F. Guanaes | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639057133 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101786676
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Remote Sensing in Rio de Janeiro City : Automatic Land-Cover Classification Derived from High-Resolution IKONOS Satellite Image in the Urban Atlantic Forest
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The city of Rio carried out a Land-cover forestclassification with visual interpretation using SPOT data. Thiswork produced a compatible thematic map in the scale 1:50,000. Thescale of these maps permit to have a global vision of the landchange cover but unfortunately do not correspond with the GIS ofthe city, which works with a scale of 1:10,000. The city searchedfor options to make this work automatically and quickly to getinformation for planning and to propose solutions. In order tosolve this problem high resolution satellite data and automaticclassification of Land-cover classes are needed. Consequently,images as IKONOS need to be used to produce a classification, witha scale corresponding to the GIS of the city. Pixel basedclassification with IKONOS data show some problems because thelevel of information in the data produce a lot of incorrectclassified pixels. The solution to perform this classification usesthe new approach that makes one pre-classification, whichtransforms the pixel information in objects as well as the featurein the vector representation. To carry out the segmentation andclassification processes, oriented objects analysis areused. Seller Inventory # 9783639057133