农业工程学报
農業工程學報
농업공정학보
2013年
21期
137-142
,共6页
李宗南%陈仲新%王利民%姜志伟
李宗南%陳仲新%王利民%薑誌偉
리종남%진중신%왕이민%강지위
土壤%粗糙度测量%表面特性%测量方法%红外结构光%三维测量技术
土壤%粗糙度測量%錶麵特性%測量方法%紅外結構光%三維測量技術
토양%조조도측량%표면특성%측량방법%홍외결구광%삼유측량기술
soils%roughness measurement%surface properties%measuring method%infrared structured light%three-dimensional scanning technique
土壤表面粗糙度是一项重要的土壤物理参数,已有的各种测量方法存在测量效率和误差难以兼顾的问题。为了在一定精度下提高野外测量工作效率,该研究基于红外结构光技术设计了一套便携的土壤表面粗糙度测量系统。该系统主要包括红外结构光扫描仪、便携式计算机、支架等,具有3.2 mm空间分辨率和3 mm的距离分辨率的性能。通过水平面板测量试验,发现本系统相对误差较小,相对误差最小区域中0.5个测量单位以内的误差(e≤1.5 mm)占87.87%,1个测量单位以内的误差(e≤3 mm)占99.58%,而大于1个测量单位的误差仅占0.42%。通过土壤表面粗糙度测量试验,发现本系统绝对误差较明显,其测量结果低于1 mm 分辨率的土壤粗糙度值。通过误差分析发现:该系统的测量误差包括固有误差和随机噪声,呈特定的规律性分布;导致绝对测量误差的主要原因为该系统的性能;由于系统的随机噪声,基于水平面板距离图像的土壤表面距离图像校正存在不确定性。该研究结果为进一步降低红外结构光三维技术测量土壤表面粗糙度的误差提供了依据。
土壤錶麵粗糙度是一項重要的土壤物理參數,已有的各種測量方法存在測量效率和誤差難以兼顧的問題。為瞭在一定精度下提高野外測量工作效率,該研究基于紅外結構光技術設計瞭一套便攜的土壤錶麵粗糙度測量繫統。該繫統主要包括紅外結構光掃描儀、便攜式計算機、支架等,具有3.2 mm空間分辨率和3 mm的距離分辨率的性能。通過水平麵闆測量試驗,髮現本繫統相對誤差較小,相對誤差最小區域中0.5箇測量單位以內的誤差(e≤1.5 mm)佔87.87%,1箇測量單位以內的誤差(e≤3 mm)佔99.58%,而大于1箇測量單位的誤差僅佔0.42%。通過土壤錶麵粗糙度測量試驗,髮現本繫統絕對誤差較明顯,其測量結果低于1 mm 分辨率的土壤粗糙度值。通過誤差分析髮現:該繫統的測量誤差包括固有誤差和隨機譟聲,呈特定的規律性分佈;導緻絕對測量誤差的主要原因為該繫統的性能;由于繫統的隨機譟聲,基于水平麵闆距離圖像的土壤錶麵距離圖像校正存在不確定性。該研究結果為進一步降低紅外結構光三維技術測量土壤錶麵粗糙度的誤差提供瞭依據。
토양표면조조도시일항중요적토양물리삼수,이유적각충측량방법존재측량효솔화오차난이겸고적문제。위료재일정정도하제고야외측량공작효솔,해연구기우홍외결구광기술설계료일투편휴적토양표면조조도측량계통。해계통주요포괄홍외결구광소묘의、편휴식계산궤、지가등,구유3.2 mm공간분변솔화3 mm적거리분변솔적성능。통과수평면판측량시험,발현본계통상대오차교소,상대오차최소구역중0.5개측량단위이내적오차(e≤1.5 mm)점87.87%,1개측량단위이내적오차(e≤3 mm)점99.58%,이대우1개측량단위적오차부점0.42%。통과토양표면조조도측량시험,발현본계통절대오차교명현,기측량결과저우1 mm 분변솔적토양조조도치。통과오차분석발현:해계통적측량오차포괄고유오차화수궤조성,정특정적규률성분포;도치절대측량오차적주요원인위해계통적성능;유우계통적수궤조성,기우수평면판거리도상적토양표면거리도상교정존재불학정성。해연구결과위진일보강저홍외결구광삼유기술측량토양표면조조도적오차제공료의거。
Soil surface roughness (SSR) is a very important parameter for describing soil physical characteristics. It is widely used in wind and water erosion studies, and for retrieving soil moisture using passive or active microwave sensing data. There are several methods to quantify SSR. The techniques of quantifying soil surface roughness mainly include the pin meter and profile meter, photography, and laser scanning. However, these methods respectively have some limitations. The main disadvantage of the pin meter and profile meter is the potentially destructive effect while using these methods. Laser scanning equipment is expensive, bulky, and therefore, it is hard to work in field conditions. Photography only acquires 2D information not real 3D information of the soil surface. In recent years, structured light measurement and range image technology has been developed very well, and the main equipment of this technology became cheaper and more portable. It has been widely used in many aspects for 3D surface reconstruction. In this study, a system based on an infrared structured light 3-dimensional technique was designed for a more portable and efficient measuring of SSR. The system mainly contains an infrared structured light scanner, a tripod with a beam, a portable computer, and a level board. The scanner contains two main parts, a structured light projector and a sensor which receives the reflected structured light. The computer with installed special software was used to control the scanner and store the data. A measurement experiment was conducted. A plain board and two different soil surfaces were measured. In a practical measuring, the scanner was fixed on one end of the beam of a tripod, and directed the front of scanner towards the soil surface, and was about 100cm high from the soil surface. The spatial resolution depended on the distance between the object and the scanner. A range image of a level board was treated as the horizontal reference for correct those range images of the soil surface. With a practical measuring process, it was found that the portability and capability of acquiring data of a structured light 3D sensor was excellent. But the measuring results had some errors because of the limitation of the spatial resolution of the system. The precision of the system needs to improve. From the analysis of the errors of the plain board measuring, we can draw some conclusions as follow. (1) The errors of the range images and surface information included inherent error and random noise, and had a specific distribution. The errors in the middle of the image were lower than in the other parts. (2) Compared with the accurate results with a higher resolution, the soil surface elevation and the roughness that was acquired by this system had less precision, and the precision was determined by the performance of the structured light scanner. (3) Due to the random noise, the correction of the soil surface elevation using the measurements of the plain board had uncertainty. The performance of this system was tested by a practical measuring experiment. It is believed that this method would be popular in SSR measuring after doing some improvements in next investigation according some findings in this study.