以乾安湖泊群为研究对象,利用1989年和2001年乾安县TM影像分割得到两个时期的湖群对象,利用具有几何不变性的Radon域描绘子提取每个湖泊对象的形态特征向量,根据所定义的湖泊相似度指数计算出两个时期湖泊对象的相似度,定量地描述了湖泊对象的时空形态变化特征。通过对所建立的面向对象数据库的挖掘,得到了比传统的湖泊面积变化检测更加丰富有效的信息,为防止湖泊进一步萎缩制定有效的保护性措施提供了数量化依据。
Remote sensing technology is introduced by many related research as an efficient method to monitor dynamic change of lakes.But most of them only pay attention to lake area change,less to the information extraction of lake shape.In this paper,Qian′an Group Lakes are taken as the study objects,and lake objects of two periods are obtained by the segmentation of TM images in 1989 and 2001,then shape character vectors of each object are extracted using geometric invariance Radon descriptor.Similarity indices of each lake object between two periods are also computed according to the definition,so shape spatial-temporal variation of lake objects can be quantitatively described.Through information mining for object-oriented database in which shape character vector and similarity indices are saved,the obtained information is more abundant and efficient than that by traditional area change detection of lakes.These provide quantitative base for devising effective conservation measures to prevent lake drying up further.
[1] 段洪涛,张柏,宋开山,等.长春市南湖叶绿素a浓度高光谱估测模型研究[J].水科学进展, 2006,17(3):323~328.
[2] 殷立琼,江南,杨英宝.基于遥感技术的太湖近15年面积动态变化[J].湖泊科学, 2005,17(2):139~142.
[3] 刘瑞霞,刘玉洁.近20年青海湖湖水面积变化遥感[J].湖泊科学, 2008,20(1):135~138.
[4] Guirguis S K. Multi-temporal change of Lake Brullus, Egypt, from 1983 to 1991[J]. International Journal of Remote Sensing, 1996, 17(15):2915-2921.
[5] Zhang S Q, Zhang J Y, Li F, et al. Vector analysis theory on landscape pattern (VATLP) [J]. Ecological Modelling, 2006, 193: 492-502.
[6] Li J, Narayanan R M.Shape-based Change Detection and Information Mining in Remote Sensing. Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. IEEE International, 2002, 2: 1035-1037.
[7] Copeland A C, Ravichandran G, Trivedi M M.Localized Radon transform-based detection of ship wakes in SAR images[J]. IEEE Transaction on Geoscience and Remote Sensing, 1995, 33(1): 35-45.
[8] Zilman G, Zapolski A, Marom M.The speed and beam of a ship from its wake’s SAR images[J]. IEEE Transaction on Geoscience and Remote Sensing, 2004, 42(10): 2335-2343.
[9] Zhang Q, Couloigner I.Accurate centerline detection and line width estimation of thick lines using the radon transform[J]. IEEE Transactions on Image Processing, 2007, 16(2): 310-316.
[10] Cui P L, Li J H, Pan Q, et al.Rotation and scaling invariant texture classification based on Radon transform and multiscale analysis[J].Pattern Recognition Letters, 2006, 27: 408–413.
[11] Jafari-Khouzani K,Soltanian-Zadeh H. Radon transform orientation estimation for rotation invariant texture analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(6): 1004-1008.
[12] Leavers V F. Use of the Radon transform as a method of extracting information about shape in two dimensions, Image and Vision Computing, 1992, 10(2): 99-107.
[13] Tabbone S, Wendling L, Salmon J P.A new shape descriptor defined on the Radon transform[J]. Computer Vision and Image Understanding, 2006, 102: 42-51.
[14] 吕金福,李志民,冷雪天,等.松嫩平原湖泊的分类与分区[J].地理科学, 1998, 18(6):524~530.
[15] 张艳红,邓伟,翟金良.松嫩平原西部湖泡水环境问题、成因与对策[J].干旱区地理与环境, 2001,15(1):31~36.
[16] 刘殿伟,宋开山,王丹丹,等.近50年来松嫩平原西部土地利用变化及驱动力分析[J].地理科学, 2006, 26(3):277~283.
[17] 陈云浩,冯通,史培军,等.基于面向对象和规则的遥感影像分类研究[J].武汉大学学报信息科学版, 2006, 31(4):316~320.
[18] 孙志英,赵彦锋,陈杰,等.面向对象分类在城市地表不可透水度提取中的应用[J].地理科学, 2007, 27(6):837~842.
[19] Radon J. über die Bestimmung von Funktionen durch ihre. Integralwerte lngs gewisser Mannigfaltigkeiten (On the determination of functions from their integrals along certain manifolds)[J].Mathematish-Phyikalishe Klasse, 1917, 69:262-277. (English translation of the paper in Deans (1983)).
[20] Manuela Alexandra S. Pereira Vacsconcelos. On the Radon transform of sampled functions.Engineering and Applied Sciences Department, Harvard University. 2003.
[21] 丁险峰,吴洪,张宏江,等.形状匹配综述[J].自动化学报, 2001,27(5):678~694.
[22] 韩美,张维英,李艳红,等.莱州湾南岸平原古湖泊的形成与演变[J].地理科学, 2002, 22(4):430~435.
