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基于無(wú)人機遙感影像的建筑物輪廓目標檢測系統設計
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西南科技大學(xué)城市學(xué)院 建筑工程學(xué)院

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Design of building contour target detection system based on UAV remote sensing image
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    摘要:

    使用?CCD成像元件系統和基于動(dòng)態(tài)掃描檢測系統受到噪聲影響,導致輪廓檢測不完整,為解決這一問(wèn)題,提出了基于無(wú)人機遙感影像的建筑物輪廓目標檢測系統設計。依據系統總體架構可確定系統分為數據采集模塊和處理模塊。選擇TLC2543A/D轉換芯片,使控制字從數據輸入終端連續輸入。使用半導體激光傳感器測量位置信息,在雪崩光電二極管上成像。采用MCS-51單片機內部數據存儲器,將正常運行程序傳送到高層,以便?CPU讀取程序。選擇371-4615型號CPU板,協(xié)調控制整機。設計輪廓目標檢測流程,采用激光三角法測量方法計算待測建筑物輪廓目標距離,避免檢測背景噪聲影響。提取建筑物斑塊,拐角點(diǎn)定位,完成建筑物輪廓目標檢測。由實(shí)驗結果可知,該系統不會(huì )受到噪聲影響,能夠確定建筑物輪廓和拐角,對建筑物輪廓目標識別具有一定參考意義。

    Abstract:

    The use of CCD imaging element system and dynamic scanning-based detection system is affected by noise, resulting in incomplete contour detection. To solve this problem, the design of building contour target detection system based on UAV remote sensing image is proposed. According to the overall architecture of the system, it can be determined that the system is divided into a data acquisition module and a processing module. Select TLC2543A / D conversion chip to make the control word input continuously from the data input terminal. Use a semiconductor laser sensor to measure position information and image on an avalanche photodiode. Adopt MCS-51 one-chip computer internal data memory, transfer the normal operation procedure to the high-level, so that CPU reads the procedure. Select the 371-4615 model CPU board to coordinate and control the whole machine. Design the contour target detection process, use laser triangulation measurement method to calculate the distance of the contour target of the building to be measured, to avoid the influence of detection background noise. Extract building patches and locate corner points to complete building contour target detection. It can be seen from the experimental results that the system will not be affected by noise, can determine the contours and corners of buildings, and has certain reference significance for the target recognition of building contours.

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郭一江.基于無(wú)人機遙感影像的建筑物輪廓目標檢測系統設計計算機測量與控制[J].,2020,28(12):32-36.

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  • 收稿日期:2020-05-22
  • 最后修改日期:2020-05-22
  • 錄用日期:2020-06-04
  • 在線(xiàn)發(fā)布日期: 2020-12-15
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