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Paper Information

Journal:   JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)   SPRING 2016 , Volume 6 , Number 1 ; Page(s) 16 To 25.
 
Paper: 

ZAGROS FOREST CANOPY DENSITY CLASSIFICATION BY IMAGE TEXTURE QUANTIZATION BASED ON FIRST AND SECOND STATISTICAL AND GEOSTATISTICAL METHODS USING ARIAL PANCHROMATIC IMAGES

 
 
Author(s):  ASHOORI HAMED*, VALADAN ZOEJ MOHAMAD JAVAD, SAHEBI MAHMOOD REZA, TAEFI FINJANI MASOUD
 
* PHOTOGRAMMETRY AND REMOTE SENSING DEPARTMNT, K.N.TOOSI UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

Forest canopy density classification map is one of the main sources of information used in forest management. In conventional methods multispectral images are used to generate the map. In this study, aerial panchromatic images as a valuable data source are used to generate this map. Statistical image texture quantization methods including first statistical and second statistical based on GLCM matrix and also geostatistical method used to generate new features from high spatial resolution image. Generated features beside main image used as classification input feature space. Supervised classification was used and about 90% accuracy was obtained. This method is mainly usable in areas with low variety in forest cover type like Zagros and Iran-Turanian region.

 
Keyword(s): CANOPY DENSITY CLASSIFICATION, TEXTURE QUANTIZATION, PANCHROMATIC IMAGE
 
 
References: 
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Click to Cite.
APA: Copy

ASHOORI, H., & VALADAN ZOEJ, M., & SAHEBI, M., & TAEFI FINJANI, M. (2016). ZAGROS FOREST CANOPY DENSITY CLASSIFICATION BY IMAGE TEXTURE QUANTIZATION BASED ON FIRST AND SECOND STATISTICAL AND GEOSTATISTICAL METHODS USING ARIAL PANCHROMATIC IMAGES. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 6(1 ), 16-25. https://www.sid.ir/en/journal/ViewPaper.aspx?id=569134



Vancouver: Copy

ASHOORI HAMED, VALADAN ZOEJ MOHAMAD JAVAD, SAHEBI MAHMOOD REZA, TAEFI FINJANI MASOUD. ZAGROS FOREST CANOPY DENSITY CLASSIFICATION BY IMAGE TEXTURE QUANTIZATION BASED ON FIRST AND SECOND STATISTICAL AND GEOSTATISTICAL METHODS USING ARIAL PANCHROMATIC IMAGES. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT). 2016 [cited 2021May11];6(1 ):16-25. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569134



IEEE: Copy

ASHOORI, H., VALADAN ZOEJ, M., SAHEBI, M., TAEFI FINJANI, M., 2016. ZAGROS FOREST CANOPY DENSITY CLASSIFICATION BY IMAGE TEXTURE QUANTIZATION BASED ON FIRST AND SECOND STATISTICAL AND GEOSTATISTICAL METHODS USING ARIAL PANCHROMATIC IMAGES. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), [online] 6(1 ), pp.16-25. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569134.



 
 
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