SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA

doi:10.6046/gtzyyg.2008.02.16

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Abstract

Based on C-band ENVISAT|ASAR and L-band ALOS|PALSAR data obtained from Changping test site of Beijing in 2007，the authors used the MIMICS model to simulate and analyze the backscattering characteristics of spring maize，summer maize and fruit trees，then compared the simulation result with the backscattering coefficients extracted from the SAR image and，according to the difference in backscattering coefficients of crops，set up a binary tree of classification algorithm to discriminate and identify the spring maize and summer maize，with the overall classification accuracy up to 86.66%. The result indicates that the dual-frequency and multi-polarization data can provide multi-dimensional information for identification and classification of crops，and have significant potential and advantages for crop remote sensing.

Keywords Satellite image Typhoon Torrential rain

TP79

Issue Date: 15 July 2009

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	Ma Lan
	Zheng Xinjiang
	Luo Jingning

Cite this article:

Ma Lan,Zheng Xinjiang,Luo Jingning. SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 68-73.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2008.02.16 OR https://www.gtzyyg.com/EN/Y2008/V20/I2/68

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