کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
847591 | 909228 | 2016 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Error compensation based on BP neural network for airborne laser ranging
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
This paper proposes a general realization method of laser ranging for micro UAVs, which is based on secondary development for the laser ranging module of FLUKE 411D. And the airborne dynamic laser ranging experiments are finished with the micro UAV DJI Phantom1. Through data processing with the least-square-based method and BP neural network-based method, the measurement error with BP neural network-based method is obtained for 4.35%, which is significantly less than that 6.69% with least-square-based method. It means that the measurement accuracy is improved significantly with BP neural network-based method. Therefore, the error compensation method based on BP neural network for airborne laser ranging is verified effectively in the paper.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 127, Issue 8, April 2016, Pages 4083–4088
Journal: Optik - International Journal for Light and Electron Optics - Volume 127, Issue 8, April 2016, Pages 4083–4088
نویسندگان
Bing Wu, Shaojun Han, Jin Xiao, Xiaoguang Hu, Jianxin Fan,