کاربرد داده‏ هاى LIDAR در تعیین توپوگرافى سطح و بستر آب و ارائه روشى جهت حذف نویز از آن

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
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