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期刊论文 6

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2021 1

2020 1

2019 1

2018 1

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2015 1

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作物病害 1

变量控制技术 1

处方图 1

多光谱/高光谱视频采集;单次曝光;采样与重建 1

机载成像 1

棉花根腐病 1

脑电图(EEG);运动想象;改进的共同空间模式(B-CSP);特征提取;分类 1

高分辨率卫星成像 1

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High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

《农业科学与工程前沿(英文)》 2018年 第5卷 第4期   页码 393-405 doi: 10.15302/J-FASE-2018226

摘要:

The central concept of precision agriculture is to manage within-field soil and crop growth variability for more efficient use of farming inputs. Remote sensing has been an integral part of precision agriculture since the farming technology started developing in the mid to late 1980s. Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications. Original satellite sensors, such as Landsat and SPOT, have commonly been used for agricultural applications over large geographic areas since the 1970s, but they have limited use for precision agriculture because of their relatively coarse spatial resolution and long revisit time. Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatial resolution between satellite imagery and airborne imagery. Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available. These imaging sensors not only provide images with high spatial resolution, but can also repeatedly view the same target area. The high revisit frequency and fast data turnaround time, combined with their relatively large aerial coverage, make high resolution satellite sensors attractive for many applications, including precision agriculture. This article will provide an overview of commercially available high resolution satellite sensors that have been used or have potential for precision agriculture. The applications of these sensors for precision agriculture are reviewed and application examples based on the studies conducted by the author and his collaborators are provided to illustrate how high resolution satellite imagery has been used for crop identification, crop yield variability mapping and pest management. Some challenges and future directions on the use of high resolution satellite sensors and other types of remote sensors for precision agriculture are discussed.

关键词: high resolution satellite sensor     multispectral imagery     precision agriculture     spatial resolution     temporal resolution    

冷战时期的卫星图像获得新的生机

Mitch Leslie

《工程(英文)》 2021年 第7卷 第6期   页码 709-711 doi: 10.1016/j.eng.2021.04.004

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-oriented

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

《信息与电子工程前沿(英文)》 2015年 第16卷 第3期   页码 238-248 doi: 10.1631/FITEE.1400083

摘要: The Chinese ZY-1 02C satellite is one of the most advanced high-resolution earth observation systems designed for terrestrial resource monitoring. Its capability for comprehensive landscape classification, especially in urban areas, has been under constant study. In view of the limited spectral resolution of the ZY-1 02C satellite (three bands), and the complexity and heterogeneity across urban environments, we attempt to test its performance of urban landscape classification by combining a multivariable model with an object-oriented approach. The multiple variables including spectral reflection, texture, spatial autocorrelation, impervious surface fraction, vegetation, and geometry indexes were first calculated and selected using forward stepwise linear discriminant analysis and applied in the following object-oriented classification process. Comprehensive accuracy assessment which adopts traditional error matrices with stratified random samples and polygon area consistency (PAC) indexes was then conducted to examine the real area agreement between a classified polygon and its references. Results indicated an overall classification accuracy of 92.63% and a kappa statistic of 0.9124. Furthermore, the proposed PAC index showed that more than 82% of all polygons were correctly classified. Misclassification occurred mostly between residential area and barren/farmland. The presented method and the Chinese ZY-1 02C satellite imagery are robust and effective for urban landscape classification.

关键词: ZY-1 02C satellite     Classification     Urban     Multi-variable model    

遥感和精准农业技术在作物病害检测与管理中的应用实例 Review

杨成海

《工程(英文)》 2020年 第6卷 第5期   页码 528-532 doi: 10.1016/j.eng.2019.10.015

摘要:

长期以来,遥感技术一直被应用于作物病害的检测和地图绘制工作。在作物生长季节获得的机载和卫星图像不仅可以用于某些病害的早期发现和季节内管理,还可用于未来季节中复发性病害的管控。尽管传统的地毯式杀虫剂施用更适于对付能够迅速在田间传播的病害,然而,在作物病害稳定的情况下,精准农业中的变量控制技术(VRT)亦可以有针对性地对受感染地区的作物有效施用杀菌剂。本文简述了已用于作物病害检测和管理的遥感技术和精准农业技术。具体来说,本文详细阐明了利用机载技术、卫星图像和VRT在棉田中检测棉花根腐病(一种破坏性的土壤传播性真菌病)和绘制分布地图的原理,介绍了从图像中提取处方图以施用定点杀菌剂并有效控制作物病害的方法。本文介绍的案例和方法力图为研究人员、推广人员、种植者、作物顾问、农场设备和化学品经销商提供有关遥感检测和有效管理某些作物病害的实用指南。

关键词: 作物病害     机载成像     高分辨率卫星成像     棉花根腐病     处方图     变量控制技术    

面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类 Research Articles

Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG

《信息与电子工程前沿(英文)》 2019年 第20卷 第8期   页码 1087-1098 doi: 10.1631/FITEE.1800083

摘要: 单次运动想象脑电分类常用于脑机接口系统控制,是人-机之间的沟通桥梁。然而,脑电信号具有低信噪比和个性化差异,会对分类结果产生不利影响。本文提出一种改进的共同空间模式(B-CSP)方法,提取特征并消除负面影响。首先,针对不同被试,采用巴氏距离并基于事件相关去同步(ERD)和事件相关同步(ERS)模式选择每个电极通道的最优频率段;其次,采用B-CSP方法提取最优频率段脑电信号特征,获得可以最大程度区分两类运动想象的特征。采用所提方法对公共数据集和实验数据集提取特征,并结合反向传播神经网络进行单次运动想象脑电分类。将B-CSP方法与两种传统脑电特征提取方法——原始共同空间模式(CSP)和自回归(AR)——比较。采用B-CSP方法在公共数据集的表现(左手/双脚:91.25%±1.77%;左手/右手:84.50%±5.42%)和实验数据集的表现(左手/双脚:90.43%±4.26%)均优于两种传统方法。实验结果表明,本文所提方法能够有效分类运动想象脑电,并能对脑机接口系统开发提供实践和理论基础。

关键词: 脑电图(EEG);运动想象;改进的共同空间模式(B-CSP);特征提取;分类    

高分辨率光谱视频采集 Review

Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY

《信息与电子工程前沿(英文)》 2017年 第18卷 第9期   页码 1250-1260 doi: 10.1631/FITEE.1700098

摘要: 与传统视频采集技术相比,高分辨率光谱视频采集技术能够为精细农业、环境监测、遥感、军事刑侦等诸多重要领域提供高维度、高精度场景特征信息。传统光谱仪主要采用的扫描系统无法满足动态场景下的采集需求,从而限制了光谱成像技术的应用范围。近来,得益于计算摄像理论和半导体技术的快速发展,光谱视频采集技术成为可能。本文首先详细介绍了传统光谱仪的基本理论与工作原理。其次,针对光谱视频采集的核心问题,从成像理论、系统结构、关键器件等方面回顾了近年出现的瞬拍式光谱采集技术。从进一步提升光谱视频采集精度的角度出发,通过主观质量评价与客观指标比较,分析和总结了各光谱成像系统的性能优势与弊端,同时讨论了计算摄像理论、半导体制备工艺对光谱视频采集技术发展的关键作用。

关键词: 多光谱/高光谱视频采集;单次曝光;采样与重建    

标题 作者 时间 类型 操作

High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

期刊论文

冷战时期的卫星图像获得新的生机

Mitch Leslie

期刊论文

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-oriented

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

期刊论文

遥感和精准农业技术在作物病害检测与管理中的应用实例

杨成海

期刊论文

面向脑机接口基于改进的共同空间模式方法的单次运动想象脑电分类

Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG

期刊论文

高分辨率光谱视频采集

Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY

期刊论文