[1]金伟,葛宏立,杜华强,等. 无人机遥感发展与应用概况[J]. 遥感信息,2009(1):88-92.
[2]李冰,刘镕源,刘素红,等. 基于低空无人机遥感的冬小麦覆盖度变化监测[J]. 农业工程学报,2012,28(13):160-165.
[3]Zhang C H,Kovacs J M. The application of small unmanned aerial system for precision agriculture:a review[J]. Precision Agriculture,2012,13(6):693-712.
[4]Everaerts J. The use of unmanned aerial vehicles(UAVs)for remote sensing and mapping[J]. Remote Sensing and Spatial Information Sciences,2008,144:1187-1191.
[5]汪沛,罗锡文,周志艳,等. 基于微小型无人机的遥感信息获取关键技术综述[J]. 农业工程学报,2014,30(18):1-12.
[6]王玲,兰玉彬,Hoffmann W C,等. 微型无人机低空变量喷药系统设计与雾滴沉积规律研究[J]. 农业机械学报,2016,47(1):15-22.
[7]汪小钦,王苗苗,王绍强,等. 基于可见光波段无人机遥感的植被信息提取[J]. 农业工程学报,2015,31(5):152-159.
[8]Vapnik V N. An overview of statistical learning theory[J]. IEEE Transactions on Neural Networks,1999,10(5):988-999.
[9]郭鹏,武法东,戴建国,等. 基于无人机可见光影像的农田作物分类方法比较[J]. 农业工程学报,2017,33(13):112-119.
[10]Miao R H,Tang J L,Chen X Q. Classification of farmland images based on color features[J]. Journal of Visual Communication and Image Representation,2015,29(2):138-146.
[11]Sklenicka P. Classification farmland ownership fragmentation as a cause of land degradation:a review on typology,con-sequences,and remedies[J]. Land Use Policy,2016,57(3):694-701.
[12]Mesas-Carrascosay F J,Notario-Garcia M D,de Larriva J E M,et al. Validation of measurements of land plot area using UAV imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2014,33(5):270-279.
[13]Mao W H,Wang Y M,Wang Y Q. Real time detection of between-row weeds using machine vision[C]. Las Vegas,Nv July,2003.
[14]龙满生,何东健. 玉米苗期杂草的计算机识别技术研究[J]. 农业工程学报,2007,23(7):139-144.
[15]杨柳,陈延辉,岳德鹏,等. 无人机遥感影像的城市绿地信息提取[J]. 测绘科学,2017,42(2):59-64.
[16]江洪,汪小钦,吴波,等. 地形调节植被指数构建及在植被覆盖度遥感监测中的应用[J]. 福州大学学报(自然科学版),2010,38(4):527-532.
[1]孙世泽,汪传建,刘伟,等.无人机多光谱草地估产中的最佳波段组合研究[J].江苏农业科学,2018,46(04):190.
Sun Shize,et al.Study on optimum band combination in estimating biomass of grassland based on UAV multispectral images[J].Jiangsu Agricultural Sciences,2018,46(06):190.
[2]梁钊雄,周红艺,吴国威,等.基于无人机影像的崩岗空间分布特征研究[J].江苏农业科学,2018,46(04):220.
Liang Zhaoxiong,et al.Study on spatial distribution of collapse base on UAV images[J].Jiangsu Agricultural Sciences,2018,46(06):220.
[3]苏瑞东.无人机在现代农业中的应用综述[J].江苏农业科学,2019,47(21):75.
Su Ruidong.Application of UAVs in modern agriculture: a review[J].Jiangsu Agricultural Sciences,2019,47(06):75.
[4]孙星星,王凯,李红阳,等.航空超低量喷雾技术在水稻生产上应用现状、存在问题及发展趋势[J].江苏农业科学,2020,48(13):29.
Sun Xingxing,et al.Application status, existing problems and development trends of aviation ultra-low volume spray technology in rice production[J].Jiangsu Agricultural Sciences,2020,48(06):29.
[5]林峰.虚拟现实技术在农业可视化场景快速构建中的应用[J].江苏农业科学,2020,48(14):268.
Lin Feng.Application of virtual reality technology in rapid construction of agricultural visualization scene[J].Jiangsu Agricultural Sciences,2020,48(06):268.
[6]徐国钦,黄明凤,黄建平.基于改进语义分割模型的无人机多光谱图像杂草分割[J].江苏农业科学,2022,50(12):212.
Xu Guoqin,et al.Segmentation of UAV multispectral weed image based on improved semantic segmentation model[J].Jiangsu Agricultural Sciences,2022,50(06):212.
[7]王羿,丁鸣鸣,何菁,等.基于不同建模方法的土壤pH值无人机遥感影像反演[J].江苏农业科学,2022,50(14):224.
Wang Yi,et al.Soil pH UAV remote sensing image inversion based on different modeling methods[J].Jiangsu Agricultural Sciences,2022,50(06):224.
[8]孙乐鑫,陈兵,赵静,等.无人机施药技术在农业生产中的应用研究现状及展望[J].江苏农业科学,2022,50(15):31.
Sun Lexin,et al.Research status and prospect on application of UAV spray technology in agricultural production[J].Jiangsu Agricultural Sciences,2022,50(06):31.
[9]杨野,杨德昌,孙红,等.基于无人机多光谱遥感和机器学习算法的南疆棉花生物量估算[J].江苏农业科学,2023,51(15):179.
Yang Ye,et al.Estimation of cotton biomass in southern Xinjiang based on UAV multi-spectral remote sensing and machine learning algorithm[J].Jiangsu Agricultural Sciences,2023,51(06):179.
[10]祁佳峰,郭鹏,刘笑,等.基于无人机高清影像的棉花苗期长势监测及后期长势预测[J].江苏农业科学,2023,51(16):170.
Qi Jiafeng,et al.Study on cotton seedling growth monitoring and later growth prediction based on UAV high-definition images[J].Jiangsu Agricultural Sciences,2023,51(06):170.