HYPERSPECTRAL

作品数：231被引量：518H指数：11
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相关机构：中国农业大学国家农业信息化工程技术研究中心哈尔滨工程大学北京航空航天大学更多>>
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Hyperspectral Reflectance Characteristics of Cyanobacteria被引量：1
《Advances in Remote Sensing》2021年第3期66-77,共12页Terrence Slonecker Brittany Bufford Jennifer Graham Kurt Carpenter Dan Opstal Nancy Simon Natalie Hall 
Potentially harmful cyanobacterial blooms are an emerging environmental concern in freshwater bodies worldwide. Cyanobacterial blooms are generally caused by high nutrient inputs and warm, still waters and have been a...
关键词：Cyanobacterial Harmful Algal Blooms (CyanoHABs) CYANOBACTERIA Hyperspectral Remote Sensing Hyperspectral Microscopy Imaging Spectroscopy 
Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method
《Advances in Remote Sensing》2019年第4期99-108,共10页Zouhaier Ben Rabah Hedi Garbia Emna Karray Kais Tounsi Abdelaziz Kallel Basel Solaiman 
Near-InfraRed and Visible (Vis-NIR) spectroscopy is a promising tool allowing to quantify soil properties. It shows that information encoded in hyperspectral data can be useful after signal processing and model calibr...
关键词：Spectroscopy HYPERSPECTRAL Data Soil Properties PARTIAL Least SQUARES Regression Model 
A Preliminary Assessment of Hyperspectral Remote Sensing Technology for Mapping Submerged Aquatic Vegetation in the Upper Delaware River National Parks (USA)
《Advances in Remote Sensing》2018年第4期290-312,共23页Slonecker Terrence Kalaly Siddiq Young John Furedi Mary Ann Maloney Kelley Hamilton Don Evans Richard Zinecker Elizabeth 
Hyperspectral remote sensing of submerged aquatic vegetation is a complex and difficult process that is affected by unique constraints on the energy flow profile near and below the water surface. In addition, shallow,...
关键词：LOTIC systems SUBMERGED AQUATIC VEGETATION Didymo germinata HYPERSPECTRAL Remote Sensing HYPERSPECTRAL processing methods 
Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification被引量：1
《Advances in Remote Sensing》2017年第3期201-211,共11页Yu Wei Xicun Zhu Cheng Li Xiaoyan Guo Xinyang Yu Chunyan Chang Houxing Sun 
Hyperspectral remote sensing has become one of the research frontiers in ground object identification and classification. On the basis of reviewing the application of hyperspectral remote sensing in identification and...
关键词：HYPERSPECTRAL REMOTE Sensing GROUND OBJECT Identification and Classification STATISTICAL Model Spectral MATCHING 
Hyperspectral Image Classification Based on Hierarchical SVM Algorithm for Improving Overall Accuracy
《Advances in Remote Sensing》2017年第1期66-75,共10页Lida Hosseini Ramin Shaghaghi Kandovan 
One of the most challenges in the remote sensing applications is Hyperspectral image classification. Hyperspectral image classification accuracy depends on the number of classes, training samples and features space di...
关键词：FEATURE Reduction METHODS CLUSTERING METHODS HYPERSPECTRAL Image Classification Support VECTOR Machine 
Adaptive Lifting Transform for Classification of Hyperspectral Signatures
《Advances in Remote Sensing》2015年第2期138-146,共9页Rajesh Agrawal Narendra Bawane 
Supervised classification of hyperspectral images is a challenging task because of the higher dimensionality of a pixel signature. The conventional classifiers require large training data set;however, practically limi...
关键词：ADAPTIVE LIFTING Scheme Pattern CLASSIFICATION HYPERSPECTRAL Image Feature Extraction Neural Network 
Prediction Modeling and Mapping of Soil Carbon Content Using Artificial Neural Network, Hyperspectral Satellite Data and Field Spectroscopy被引量：4
《Advances in Remote Sensing》2015年第1期63-72,共10页Sudheer Kumar Tiwari Sudip Kumar Saha Suresh Kumar 
Soil organic carbon (SOC) is an important and reliable indicator of soil quality. In this study, soil spectra were characterized and analysed to predict the spatial soil organic carbon (SOC) content using multivariate...
关键词：Soil Carbon Artificial NEURAL Network HYPERSPECTRAL IMAGINE Spectroscopy HYPERION 
Reflectance Spectra Measurements of Mt. Etna: A Comparison with Multispectral/Hyperspectral Satellite
《Advances in Remote Sensing》2014年第4期235-245,共11页Stefania Amici Alessandro Piscini Marco Neri 
We present a collection of eight reflectance spectra representative of Mt. Etna volcano lava flows. The reflectance spectra were measured with a FieldSpecPro from 350 nm to 2500 nm during a fieldwork in June 2007. The...
关键词：ASTER EO1-Hyperion FieldSpecPro ETNA Imaging Spectroscopy 
A Neural Network Algorithm to Detect Sulphur Dioxide Using IASI Measurements
《Advances in Remote Sensing》2014年第4期246-259,共14页Alessandro Piscini Elisa Carboni Fabio Del Frate Roy Gordon Grainger 
The remote sensing of volcanic sulphur dioxide (SO2) is important because it is used as a proxy for volcanic ash, which is dangerous to aviation and is generally more difficult to discriminate. This paper presents an ...
关键词：Artificial Neural Networks Pattern Recognition Remote Sensing of Volcanoes VOLCANO Monitoring HYPERSPECTRAL VOLCANIC SULPHUR Dioxide 
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