نوع مقاله : مقاله پژوهشی

نویسندگان

دانشجوى فتوگرامترى دانشکده فنى نقشه بردارى سازمان جغرافیایى

چکیده

استفاده از لیزر اسکنرهاى هوایى جهت تعیین توپوگرافى بستر آب، چندى است که در دنیا مطرح شده و جنبه‏ ى کاربردى به خود گرفته است. عمق‏ یابى با لیزر اسکنرها روشى است دقیق‏ تر، مقرون به صرفه‏ تر و سریع ‏تر از سایر روش‏ هاى عمق یابى، که مبناى آن اندازه‏ گیرى دقیق زمان رفت و برگشت دو نور ارسالى به سطح و بستر آب مى‏ باشد. از این رو کاربرد سخت   ‏افزار و نرم ‏افزارى مناسب که در آن‏ها منبع خطاهاى مهم تشخیص داده شده و به حداقل میزان رسانده شود در نتیجه پرواز بسیار مؤثر است. این مقاله به معرفى انواع لیزر اسکنرهاى عمق یاب، تکنیک هاى مختلف مورد استفاده در هر یک از آنها و شرح چگونگى عملیات عمق یابی مى‏ پردازد. همچنین علاوه بر بیان عوامل طبیعى بروز خطا و علل نویز در داده‏ هاى عملیات، الگوریتمى نیز جهت تصحیح داده ‏ها و روشى جهت حذف نویز را ارائه مى‏ کند.

کلیدواژه‌ها

عنوان مقاله [English]

Application of LIDAR Data in Determining the Topography of Water Surface and Substrate and Providing a Method for Eliminating Noise from it.

نویسندگان [English]

  • Hamid Enayati
  • Shima Toori

Student of Photogrammetry at Surveying College, National Organization of Geography

چکیده [English]

In recent years the use of aerial laser scanners for determining the topography of water beds has been introduced in the world and has found practical aspect. Depth measurement using laser scanners is a more precise, cost- efficient, and faster method than other depth-measuring methods, which is based on accurate measurement of the travel time of two light signals transmitted to the surface and bed of water. Consequently, the use of appropriate hardware and software, in which the source of the major errors is detected and minimized, is very effective on the result of the flight. This paper presents a variety of depth-measuring laser scanners, various techniques used in each of them, and a description of how depth-measuring operations are performed. In addition to expressing the natural causes of error as well as noise causes in operational data, an algorithm for data correction and a method for noise cancellation is presented.

کلیدواژه‌ها [English]

  • LiDAR
  • Laser Scanner
  • SST
  • Depth Finding
1- Banic John, Cunningham Grant, 2008, Airborne Laser Bathymetry A Tool For The Next Millennium, EEZ Technology, Optech Inc., Toronto, Canada.
2- Cheng W,Lu W.S, Antoniou A,1995, Noise Filtering and Enhancement of Seabed Topography for Airborne Laser Bathymetry.
3- GuentherGary, CunninghamGrant, LaRocquepaul, Reid David, 2000, Meeting the Accuracy Challenge in Airborne Lidar Bathymetry.
4-  Guenther Gary,2006, Airborne Lidar Bathymetry, Chapter 8.
5- Guide to Wave ANALYSIS And Forecasting, 1998, World Meteorological Organization, Geneva, Switzerland,2nd edition,WMO-No.702.
6- Irish JL., Thomas J, Parson L,Lillycrop W,1996,Monitoring Storm Response With High Density Lidar Bathymetry: The Effects of Hurricane Opal on Florida's Panhandle, Proc.2nd Int.Airborne Remote Sensing Conf.,June 24-27,Sanfrancisco,CA.,Vol.3,723-732.
7- Limpach Philippe,Sea Surface Topography and Marine Geoid by Airborne Laser Altimertry and Shipborne Ultrasound in the Aegean Sea,2009,Prof.Kahle H.G,Prof.Becker M,Prof.Geiger A, ETHZURICH University.
8-  Robertson William,Airborne Laser Quantification of Florida Shoreline and Beach Volume Change Caused by Hurricanes, 2007, Prof. Walker George,Florida International University, College of Sciences.
9- SinclairM, 1997, LADSMKII Aircraft Launched, Hydro International, 11, December,29-31.
10- Sorenson G,Honey R,Payne J,1966,Analysis of the Use of Airborne Laser Radar for Submarine Detection and Ranging, SRI Report NO.5583,Stanford Research Institute.
11- Stream Studies With Small-FootprintGreenLidar,2009, EOS, VOL.90,NO.39.
12- W.Baker J.Brandon,2005,Fourier Error Analysis of Ray Tracing on a Geospatial Polygonal Model, University of Utah,Department of Electrical and Computer Engineering.
13- W.Finkl Charles, Benedet Lindino, Andrews Jeffrey,2006, Seabed Classification Based on Interpretation of Airborne Laser Bathymetry in Classll Waters off Southeast Florida.
14- Yan Lei,Yan Ming, Zhang Feizhou,2002,Seabed Terrain Simulation and its Matched Filter Design,Institute of Remote sensing and GIS, Beijing.