小型無人機低空攝影測量在土地確權(quán)應(yīng)用中的探究——以陜西試點區(qū)域為例
發(fā)布時間:2019-03-05 21:11
【摘要】:低空攝影測量具有成本低、效率高、時效性強、周期短、靈活性強的優(yōu)點,能夠高效率地獲取高分辨率的影像,從而對地表進行快速、實時地調(diào)查和監(jiān)測。以陜西三試點區(qū)域為例,應(yīng)用小型無人機獲取高分辨率影像,將此影像利用INPHO全數(shù)字攝影測量工作站中的Match AT光束法平差軟件進行空三加密與計算,并利用航天遠景Map Matrix立測軟件進行基本定向點及檢查點的精度檢查,最終生成高精度的數(shù)字正攝影像底圖。為了驗證此無人機低空攝影測量的時間效率和結(jié)果精度,首先將此數(shù)字正攝影像底圖的精度與傳統(tǒng)航測法土地確權(quán)的精度指標進行比較與分析,得出此小型無人機低空攝影在土地經(jīng)營權(quán)確權(quán)中具有很強的可行性與實用性,然后選用特定數(shù)量的影像數(shù)量重復執(zhí)行此工藝過程并對過程進行時間統(tǒng)計,從而在總體工作量很大并保持穩(wěn)定的情況下,驗證了此無人機低空攝影在時間效率上的高效性,最后選用空三完成后影像上明顯加密點坐標與實際量測坐標進行比較,得出結(jié)果精度滿足較大比例尺的測繪成圖。
[Abstract]:Low-altitude photogrammetry has the advantages of low cost, high efficiency, strong timeliness, short period and strong flexibility. It can obtain high-resolution images efficiently, so it can quickly and real-time survey and monitor the surface. Taking the three pilot areas in Shaanxi Province as an example, a small UAV was used to obtain high-resolution images. The image was encrypted and calculated by Match AT beam adjustment software in INPHO all-digital photogrammetry workstation. The precision check of the basic orientation point and checkpoint is carried out by using the spaceflight prospective Map Matrix vertical survey software, and finally the high precision digital forward photography image base map is generated. In order to verify the time efficiency and result precision of the UAV low altitude photogrammetry, the accuracy of the digital forward photography base map is compared and analyzed with the precision index of the traditional aerial survey method. It is concluded that the low-altitude photography of this small UAV has a strong feasibility and practicability in the determination of the right to land management, and then select a specific number of images to repeat the process and carry out the time statistics of the process. As a result, the efficiency of the UAV low-altitude photography in time efficiency is verified under the condition that the overall workload is very large and the overall work remains stable. Finally, after the completion of space three, the obvious encrypted point coordinates on the image are compared with the actual measured coordinates. The result shows that the precision of the result meets the large scale mapping.
【作者單位】: 長安大學地質(zhì)工程與測繪學院;江西農(nóng)業(yè)大學園林與藝術(shù)學院;
【基金】:國家自然科學基金項目(211026150341)~~
【分類號】:P231
[Abstract]:Low-altitude photogrammetry has the advantages of low cost, high efficiency, strong timeliness, short period and strong flexibility. It can obtain high-resolution images efficiently, so it can quickly and real-time survey and monitor the surface. Taking the three pilot areas in Shaanxi Province as an example, a small UAV was used to obtain high-resolution images. The image was encrypted and calculated by Match AT beam adjustment software in INPHO all-digital photogrammetry workstation. The precision check of the basic orientation point and checkpoint is carried out by using the spaceflight prospective Map Matrix vertical survey software, and finally the high precision digital forward photography image base map is generated. In order to verify the time efficiency and result precision of the UAV low altitude photogrammetry, the accuracy of the digital forward photography base map is compared and analyzed with the precision index of the traditional aerial survey method. It is concluded that the low-altitude photography of this small UAV has a strong feasibility and practicability in the determination of the right to land management, and then select a specific number of images to repeat the process and carry out the time statistics of the process. As a result, the efficiency of the UAV low-altitude photography in time efficiency is verified under the condition that the overall workload is very large and the overall work remains stable. Finally, after the completion of space three, the obvious encrypted point coordinates on the image are compared with the actual measured coordinates. The result shows that the precision of the result meets the large scale mapping.
【作者單位】: 長安大學地質(zhì)工程與測繪學院;江西農(nóng)業(yè)大學園林與藝術(shù)學院;
【基金】:國家自然科學基金項目(211026150341)~~
【分類號】:P231
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