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姚霞
Professor
Supervisor of Doctorate Candidates
School/Department: College of Agriculture
Professional Title:
Professor
Alma Mater:
南京农业大学
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姬旭升,李旭,万泽福,姚霞,朱艳,程涛.基于高空间分辨率卫星影像的新疆阿拉尔市棉花与枣树分类,中国农业科学,2019,52(6):997-1008(Participating authors)
李栋,田龙,万泽福,贾敏,姚霞,田永超,朱艳,曹卫星,程涛.Assessment of unified models for estimating leaf chlorophyll content across directional-hemispherical reflectance and bidirectional reflectance spectra,REMOTE SENSING OF ENVIRONMENT,2019,231:-(Participating authors)
郭泰,方圆,程涛,田永超,朱艳,Chen Qi,邱小雷,姚霞.Detection of wheat height using optimized multi-scan mode of LiDAR during the entire growth stages,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2019,165:-(Correspondence Author)
鲁宁,周洁,韩子旭,李栋,曹强,姚霞,田永超,朱艳,曹卫星,程涛.Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system,PLANT METHODS,2019,15:-(Participating authors)
何骄阳,张妮,苏茜,鲁井山,姚霞,程涛,朱艳,曹卫星,田永超.Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles,REMOTE SENSING,2019,11(15):-(Participating authors)
江佳乐,郑恒彪,姬旭升,程涛,田永超,朱艳,曹卫星,Ehsani Reza,姚霞.Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring,SENSORS,2019,19(3):-(Correspondence Author)
鲁宁,王文辉,张巧凤,李栋,姚霞,田永超,朱艳,曹卫星,Baret Fred,刘守阳,程涛.Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery,FRONTIERS IN PLANT SCIENCE,2019,10:-(Participating authors)
张小虎,黄芬,陈佳悦,高翔,刘铭,姚霞,朱艳.基于图像增强和alpha角度模型的K均值小麦冠层分割算法的改进,南京农业大学学报,2018,41(3):413-421(Participating authors)
徐心杰,姬旭升,江佳乐,姚霞,田永超,朱艳,曹卫星,曹强,杨洪建,史中葵,程涛.Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery,REMOTE SENSING,2018,10(4):-(Participating authors)
李栋,王雪,郑恒彪,周凯,姚霞,田永超,朱艳,曹卫星,程涛.Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis,PLANT METHODS,2018,14:-(Participating authors)
total287 16/29
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