文献类型： 外文期刊
第一作者： Shu, Meiyan
作者： Shu, Meiyan;Zhou, Longfei;Gu, Xiaohe;Sun, Qian;Yang, Guijun;Zhou, Chengquan;Shu, Meiyan;Zhou, Longfei;Gu, Xiaohe;Sun, Qian;Yang, Guijun;Zhou, Chengquan;Zhou, Longfei;Sun, Qian;Yang, Guijun;Zhou, Chengquan;Shu, Meiyan;Ma, Yuntao
作者机构：
关键词： Maize; Lodging; Polarization combination; Plant height; Lodging angle
期刊名称：ADVANCES IN SPACE RESEARCH （ 影响因子：2.152； 五年影响因子：1.978 ）
ISSN： 0273-1177
年卷期： 2020 年 65 卷 1 期
页码：
收录情况： SCI
摘要： Lodging is a common phenomenon in maize production, which seriously affects its yield, quality, and mechanical harvesting capacity. With good penetrating power, satellite radar can monitor crop growth even under cloudy weather conditions. In this study, a method based on the change in plant height before and after lodging in maize is proposed to calculate the lodging angle and monitor the lodging degree by using dual-polarization Sentinel-1A data. The results show that the optimal sensitive polarization combinations of maize plant height before and after lodging are VH/VV and VV, respectively. The lodging angle is calculated using the plant height inversion results before and after lodging. The overall accuracy of classifying lodging grade of maize is 67%. The proposed model based on lodging angle could effectively mapped the maize lodging range on a regional scale and classify the lodging grades. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
分类号：
- 相关文献
作者其他论文 更多>>
-
UssNet: a spatial self-awareness algorithm for wheat lodging area detection
作者：Zhang, Jun;Wu, Qiang;Duan, Fenghui;Liu, Cuiping;Xiong, Shuping;Ma, Xinming;Cheng, Jinpeng;Feng, Mingzheng;Dai, Li;Wang, Xiaochun;Yang, Hao;Yang, Guijun;Chang, Shenglong
关键词：Unmanned aerial vehicle; State space models; Wheat lodging area identification; Semantic segmentation
-
An automated lightweight approach for detecting dead fish in a recirculating aquaculture system
作者：Zhou, Chengquan;Wang, Chenye;Sun, Dawei;Hu, Jun;Ye, Hongbao;Wang, Chenye
关键词：YOLO; Dead fish; RAS; Image processing; Lightweight framework
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者：Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词：Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
A Comprehensive Evaluation of Monocular Depth Estimation Methods in Low-Altitude Forest Environment
作者：Jia, Jiwen;Kang, Junhua;Gao, Xiang;Zhang, Borui;Yang, Guijun;Chen, Lin;Yang, Guijun
关键词：monocular depth estimation; CNN; vision transformer; forest environment; comparative study
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者：Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词：tassel; 3D phenotyping; TreeQSM; genotyping; clustering
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者：Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词：Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者：Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词：Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction
