Geometric Correction Method of Rotary Scanning Hyperspectral Image in Agriculture Application

文献类型： 外文期刊

第一作者： Wan, Peng

作者： Wan, Peng;Yang, Guijun;Xu, Bo;Feng, Haikuan;Yu, Haiyang;Wan, Peng;Wan, Peng;Yang, Guijun;Xu, Bo;Feng, Haikuan;Yu, Haiyang;Yang, Guijun;Xu, Bo;Feng, Haikuan;Yu, Haiyang

作者机构：

关键词： Geometric correction;hyperspectral image;rotary scanning;agriculture application

期刊名称：SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS 2014, PT II

ISSN： 0277-786X

年卷期： 2015 年 9522 卷

页码：

收录情况： SCI

摘要： In order to meet the demand of farmland plot experiments hyperspectral images acquisition, an equipment that incorporating an aerial lift vehicle with hyperspectral imager was proposed. In this manner, high spatial resolution (in millimeter) imageries were collected, which meets the need of spatial resolution on farm experiments, but also improves the efficiency of image acquisition. In allusion to the image circular geometric distortion which produced by telescopic arm rotation, an image rectification method that based on mounted position and orientation system was proposed. Experimental results shows that the image rectification method is effective.

分类号：

  • 相关文献

[1]A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments. Huang, Wenqian. 2018

[2]Measurement of Chlorophyll Content and Distribution in Tea Plant's Leaf Using Hyperspectral Imaging Technique. Chen Quan-sheng,Zhao Jie-wen,Wang Kai-liang,Ouyang Qin. 2011

[3]An Improved Combination of Spectral and Spatial Features for Vegetation Classification in Hyperspectral Images. Fu, Yuanyuan,Zhao, Chunjiang,Yang, Guijun,Song, Xiaoyu,Feng, Haikuan,Fu, Yuanyuan,Zhao, Chunjiang,Yang, Guijun,Song, Xiaoyu,Feng, Haikuan,Fu, Yuanyuan,Zhao, Chunjiang,Yang, Guijun,Song, Xiaoyu,Feng, Haikuan,Fu, Yuanyuan,Zhao, Chunjiang,Yang, Guijun,Song, Xiaoyu,Feng, Haikuan,Wang, Jihua,Jia, Xiuping. 2017

[4]A COMPARATIVE ANALYSIS OF MUTUAL INFORMATION BASED FEATURE SELECTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION. Fu, Yuanyuan,Fu, Yuanyuan,Jia, Xiuping,Huang, Wenjiang,Wang, Jihua. 2014

[5]The Classification of Wheat Varieties Based on Near Infrared Hyperspectral Imaging and Information Fusion. Dong Gao,Guo Jian,Dong Gao,Wang Cheng,Chen Zi-long,Zheng Ling,Zhu Da-zhou,Zhu Da-zhou. 2015

[6]Differentiation of storage time of wheat seed based on near infrared hyperspectral imaging. Dong Gao,Liang Kehong,Lu Lingang,Wang Jing,Zhu Dazhou,Dong Gao,Guo Jian,Dong Gao,Wang Cheng. 2017

[7]Semisupervised classification of hyperspectral images based on tri-training algorithm with enhanced diversity. Cui, Ying,Song, Guojiao,Wang, Xueting,Wang, Liguo,Cui, Ying,Lu, Zhongjun. 2017

[8]Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models. Yue, Jibo,Yang, Guijun,Li, Zhenhai,Wang, Yanjie,Feng, Haikuan,Xu, Bo,Yue, Jibo,Yue, Jibo,Li, Changchun,Wang, Yanjie,Yang, Guijun,Li, Zhenhai,Wang, Yanjie,Feng, Haikuan,Xu, Bo,Yang, Guijun,Li, Zhenhai,Xu, Bo. 2017

[9]Hyperspectral image analysis based on BoSW model for rice panicle blast grading. Huang, Shuangping,Huang, Shuangping,Qi, Long,Ma, Xu,Xue, Kunnan,Qi, Long,Ma, Xu,Wang, Wenjuan,Zhu, Xiaoyuan.

作者其他论文 更多>>

微信小程序