Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation最新文献

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Hyperspectral Sensor Characteristics 高光谱传感器特性
F. Ortenberg
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引用次数: 5
The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials 高光谱近端传感技术在植物育种试验表型分析中的应用
A. Potgieter, J. Watson, B. George-Jaeggli, G. McLean, M. Eldridge, S. Chapman, K. Laws, J. Christopher, K. Chenu, A. Borrell, G. Hammer, D. Jordan
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引用次数: 2
Hyperspectral Remote Sensing in Global Change Studies 全球变化研究中的高光谱遥感
J. Qi, Y. Inoue, N. Wiangwang
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引用次数: 7
Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing 星载高光谱EO-1 Hyperion数据预处理
I. Aneece, P. Thenkabail, J. G. Lyon, A. Huete, Terrence Slonecker
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引用次数: 3
Characterization of Soil Properties Using Reflectance Spectroscopy 利用反射光谱学表征土壤性质
E. Ben-Dor, S. Chabrillat, J. Demattê
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引用次数: 28
Fifty-Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume I 农业和植被高光谱遥感的五十年进展-总结,见解和亮点卷一
Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9781315164151-14
P. Thenkabail, J. G. Lyon, A. Huete
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引用次数: 2
The Use of Spectral Databases for Remote Sensing of Agricultural Crops 光谱数据库在农作物遥感中的应用
A. Hueni, L. Suárez, L. Chisholm, A. Held
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引用次数: 2
Hyperspectral Data Processing Algorithms 高光谱数据处理算法
Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9781315164151-11
A. Plaza, J. Plaza, G. Martín, S. Sánchez
{"title":"Hyperspectral Data Processing Algorithms","authors":"A. Plaza, J. Plaza, G. Martín, S. Sánchez","doi":"10.1201/9781315164151-11","DOIUrl":"https://doi.org/10.1201/9781315164151-11","url":null,"abstract":"Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acquired from a given scene (or specific object) at a short, medium, or long distance by an airborne or satellite sensor [1]. The concept of hyperspectral imaging originated at NASA’s Jet Propulsion Laboratory in California with the development of the Airborne visible infrared imaging spectrometer (AVIRIS), able to cover the wavelength region from 400 to 2500 nm using more than 200 spectral channels, at nominal spectral resolution of 10 nm [2]. As a result, each pixel vector collected by a hyperspectral instrument can be seen as a spectral signature or fingerprint of the underlying materials within the pixel. The special characteristics of hyperspectral data sets pose different processing problems [3], which must be necessarily tackled under specific mathematical formalisms, such as classification, segmentation, image coding, or spectral mixture analysis [4]. These problems also require specific dedicated processing software and hardware platforms. In most studies, techniques are divided into full-pixel and mixed-pixel techniques, where each pixel vector defines a spectral signature or fingerprint that uniquely characterizes the underlying materials at each site in a scene [5]. Mostly based on previous efforts in multispectral imaging, full-pixel techniques assume that each pixel vector measures the response of one single underlying material. Often, however, this is not a realistic assumption. If the spatial resolution of the sensor is not fine enough to separate different pure signature classes at a macroscopic level, these can jointly occupy a single pixel, and the resulting spectral signature will be a composite of the individual pure spectra, called endmembers in hyperspectral terminology [6]. Mixed pixels can also result when distinct materials are combined into a homogeneous or intimate mixture, which occurs independently of the spatial resolution of the sensor. contents","PeriodicalId":304529,"journal":{"name":"Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Hyperspectral Image Data Mining 高光谱图像数据挖掘
Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9781315164151-10
S. Bajwa, Yu Zhang, A. Shirzadifar
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引用次数: 1
Methods for Linking Drone and Field Hyperspectral Data to Satellite Data 无人机和野外高光谱数据与卫星数据连接的方法
Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9781315164151-12
M. A. Hoque, S. Phinn
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引用次数: 3
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