ZHU Tingting, LI Fei, ZHANG Shengkai, YUAN Lexian. Rock Outcrop Detection from RADARSAT-1 Datasets Based on Constant False Alarm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(11): 1512-1517. DOI: 10.13203/j.whugis20150266
Citation: ZHU Tingting, LI Fei, ZHANG Shengkai, YUAN Lexian. Rock Outcrop Detection from RADARSAT-1 Datasets Based on Constant False Alarm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(11): 1512-1517. DOI: 10.13203/j.whugis20150266

Rock Outcrop Detection from RADARSAT-1 Datasets Based on Constant False Alarm

Funds: 

The State Key Program of National Natural Science of China 41531069

the National Basic Research Program of China 2012CB957701

the Chinese Polar EnvironmentComprehensive Investigation and Assessment Programs CHINARE2016

More Information
  • Author Bio:

    ZHU Tingting, PhD candidate, specializes in geodesy and polar remote sensing. E-mail:zhutingting62008@163.com

  • Corresponding author:

    LI Fei, PhD, professor. E-mail:fli@whu.edu.cn

  • Received Date: April 19, 2016
  • Published Date: November 04, 2016
  • Microwave data has become the leading dataset in polar remote sensing research. In this paper, based on the CFAR algorithm, rock outcrop information is extracted from RADARSAT-1 synthetic aperture radar datasets, which yields high resolution imagery with good contrast between rock outcroppings and glacier ice. In order to choose the suitable parameters for the mountain range rock outcrop information extraction, evaluation of the effectiveness different models was conducted on representative datasets. In experiments, the results of Weibull distribution based SO-CFAR method demonstrate that the accuracy of rock outcrops detection ratio was larger than 80% and the overall error ratio was less than 8%, which verifies that the proposed method has a great potential for analyzing the rock outcroppings in the Antarctic.
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