地球科学进展 ›› 2002, Vol. 17 ›› Issue (5): 648 -652. doi: 10.11867/j.issn.1001-8166.2002.05.0648

研究论文 上一篇    下一篇

成像雷达干涉测量数据相关性与干旱—半干旱地区地表类型特征的关系
廖静娟 1,邵芸 1 ,郭华东 1,N. Veneziani 2   
  1. 1.中国科学院遥感应用研究所遥感信息科学开放研究实验室,北京 100101;2.Institute for Signaland Image Processing,CNR,Bari 70126
  • 收稿日期:2001-09-17 修回日期:2002-01-31 出版日期:2002-12-20
  • 通讯作者: 廖静娟(1966-),广西南宁人,副研究员,主要从事雷达遥感基础及应用基础研究.E-mail:ljj@irsa.irsa.ac.cn E-mail:ljj@irsa.irsa.ac.cn
  • 基金资助:

    国家自然科学基金重点项目“新型成像雷达对地观测机理及地物识别技术” (编号:49989001);中国科学院遥感应用研究所创新课题(编号:CX0100001)联合资助.

RELATIONSHIP BETWEEN COHERENCE OF SAR INTERFEROMETRY AND SURFACE FEATURE IN ACRID TO SEMI-ACRID AREA

LIAO Jing-juan 1,  SHAO Yun 1, GUO Hua-dong 1, N. Veneziani 2   

  1. 1.Laboratory of Remote Sensing Information Sciences, The Instisute of Remote Sensing Information Application, Chinese Academy of Sciences,Beijing 100101,China;2.Institute for Signal and Image Processing, CNR,Bari 70126,China
  • Received:2001-09-17 Revised:2002-01-31 Online:2002-12-20 Published:2002-10-01

利用欧洲资源卫星1号和2号获取的重轨干涉测量雷达数据,首先进行干涉测量数据相关性估测,并结合干涉测量数据的振幅信息,开展新疆喀什试验区地表土地类型的识别与分类,区分和识别出裸土、盐碱地、灌丛、裸岩/戈壁、沼泽和水体 6类土地类型。最后通过对不同土地类型的后向散射特性和相关性的分析,探讨了干涉测量数据相关性与干旱-半干旱地区地表特征的关系。

At recent years, imaging radar interferometric technique with its all weather, day and night capabilities, can generate the digital elevation model (DEM) and monitor surface change using amplitude and phase information from radar signal. So it has become a potential tool to acquire more resource and environmental information. The repeat-pass interferomety acquires two images by using one antenna for repeat passes over the same area at two different times. The two images can be used for further information extraction only while they have somewhat coherence.
This paper presented the results of discrimination and classification of surface land types in Kashi test site, Xinjing of northwestern China using the repeat-pass interferometric data, acquired by European Resource Satellite 1 and 2, based on the interferometric coherence estimation and amplitude intensity. Six types of land were discriminated and classified, including in bare soil, salina, bush, bare rock/gobi, marsh and water body. Then the backscatter and coherence characteristics of these land types were analyzed, and the relationship between coherence and surface features in acrid and semi-acrid area was also discussed. Bare soil and dry salina have high coherence, but their backscatter coefficients are different. Bush has middle coherence, and the backscatter feature is similar to bare soil. Wet salina and bare rock/gobi have low coherence, and have the different backscatter coefficients. Marsh and water body have the lowest coherence, and their backscatter features are different.

中图分类号: 

[1] Dixon T H. SAR Interferometry and Surface Change Detection[R]. Report of Workshop Held in Boulder,Colorado, 3-4 February, 1994.
[2] Borgeaud M,  Wegmueller U. On the use of ERS SAR interferometry for the retrieval of geo- and bio-physical information[A]. In: Proceedings of 'Fringe 96' Workshop on ERS SAR Interferimetry[C]. Zurich, Switzerland, 30 September-2 October, 1996. 83-94.
[3] Rocca F,  Prati C,  Ferretti A. An overview of ERS-SAR interferometry[A]. In: Proceedings of the  3rd ERS Symposium on Space at the Service of our Environment[C]. Florence, Italy, March 17-21, 1997. 27-36.
[4] Wegmuller U, Werner C. Retrieval of vegetation parameters with SAR interferometry [J]. IEEE Transactions Geoscience Remote Sensing, 1997,35(1): 18-24.
[5] Askne J, Patrik B G D, Smith G. Understanding ERS InSAR coherence of boreal forests [A]. In: Proceedings of IGARSS'99[C]. Hamburg, Germany, June 28-July 2, 1999.
[6] Touzi R, Lopes A, Bruniquel J, et al. Coherence estimation for SAR imagery [J]. IEEE Transactions Geoscience Remote Sensing, 1999,37(1): 135-149.
[7] Editorial Committee of 1∶1000000 Land-Use Map of China. 1∶1000000 Land-Use map of China [M]. Beijing: Science Press, 1987. [1∶1000000中国土地利用图编辑委员会,1∶1000000中国土地利用图 [M].北京:科学出版社,1987.]
[8] Laur H, Bally P, Meadows P,et al. ERS SAR Calibration: Derivation of the Backscattering Coefficient in ESA ERS SAR PRI Producuts[R]. ESA Document No. ES-TN-RS-PM-HL09, Issue 2.5b, 7 September, 1998. 42-45.
[9] Zebker H A , Villasensor J. Decorrelation in interferometric radar echoes [J]. IEEE Transactions Geoscience Remote Sensing, 1992, 30(5): 950-959.

[1] 王国华,赵文智. 遥感技术估算干旱区蒸散发研究进展[J]. 地球科学进展, 2011, 26(8): 848-858.
[2] 傅文学,田庆久,郭小方,王黎明. PS技术及其在地表形变监测中的应用现状与发展[J]. 地球科学进展, 2006, 21(11): 1193-1198.
[3] 李德仁. 对地观测与地理信息系统[J]. 地球科学进展, 2001, 16(5): 689-693.
[4] 王静瑶,吴 云. 现代地壳运动与地震监测预报研究的现状和发展趋势[J]. 地球科学进展, 2000, 15(1): 84-89.
阅读次数
全文


摘要