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Building extraction via semi-automated image analysis techniques Ahmad Firdaus bin Hairy

By:

Ahmad Firdaus bin Hairy

Contributor(s):

Malaysia, Fakulti Senibina, Perancangan dan Ukur, Universiti Teknologi MARA

Material type: Text

TextPublication details: Selangor, Malaysia January 2012Description: viii, 56p. ill. 30 cm CD-RomSubject(s):

LOC classification:

TH 845 A35 2012

Dissertation note: Thesis (Degree) Fakulti Senibina, Perancangan dan Ukur, Universiti Teknologi Mara

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Thesis	MYSA Lib Resources Center KL	Book	TH 845 A35 2012 (Browse shelf(Opens below))	Available		T6104

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Previous	TH 453.A33 2004 Advanced building simulation	TH 4818.B3 M35 2005 Identification and Quantification of Bamboo Areas using the Subpixel Classifier in Remote Sensing	TH 5182.86 1990 British Standard Fire Tests on Building Materials and Structures	TH 845 A35 2012 Building extraction via semi-automated image analysis techniques	TH 845 M35 2020 Object based image analysis of support vector machine and rule based image classification for building extraction	TH 845 M35 2020 Object based image analysis of support vector machine and rule based image classification for building extraction	TH 9235 M35 2003 FDRS Applications Workshop A Joint Workshop held by the Malaysian Centre for Remote Sensing, Canadian Forest Service SE Asia, FDRS Project, British Columbia Forest Service Protection Program, June 16 - June 18 2003, MACRES, Kuala Lumpur, Malaysia	Next

Appendix 1: Rapid static GPS observation result (pg. 56), Appendix 2: Detail survey observation (pg. 57), Appendix 3: Class 5 segmentation statistic (pg. 58), Appendix 4: Density slice of class 3 [residential area] and class 5 [industrial area] statistics result (pg. 59)

Thesis (Degree) Fakulti Senibina, Perancangan dan Ukur, Universiti Teknologi Mara

Includes bibliographical references

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