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公开(公告)号：US20180031422A1
公开(公告)日：2018-02-01
申请号：US15543442
申请日：2016-01-14
Applicant: THE UNIVERSITY OF SYDNEY
Inventor： Richard J. Murphy , Arman Melkumyan , Anna Chlingaryan , Dai Bang Nguyen , Stuart Wishart , Alex Lowe , Steven Scheding
CPC classification number: G01J3/2823 , G01J3/0202 , G01J3/0208 , G01J3/0237 , G01J3/0264 , G01J3/0286 , G01J3/0291 , G01J3/28 , G01J2003/2826 , G06K9/6256 , G06K9/6267 , H04N5/2252 , H04N5/2351 , H04N5/2353 , H04N5/332
Abstract: A compact hyperspectral imager adapted to operate in harsh environments and to conduct post acquisition signal processing to provide automated and improved hyperspectral processing results is disclosed. The processing includes luminance and brightness processing of captured hyperspectral images, hyperspectral image classification and inverse rendering to produce luminance invariance image processing.
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公开(公告)号：US20150193691A1
公开(公告)日：2015-07-09
申请号：US14408957
申请日：2013-06-18
Applicant: THE UNIVERSITY OF SYDNEY
Inventor： Katherine Lee Silversides , Arman Melkumyan , Derek Wyman , Peter James Hatherly
CPC classification number: G06N7/005 , G01V5/06 , G06N99/005
Abstract: Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device. The computer implemented method using a computer processing unit to generate a probabilistic model from a training library for use in identifying instances of the target feature in the geophysical data sets, applying, using the computer processing unit, the probabilistic model to one or more of the geophysical data sets to generate a plurality of results, processing, using the computer processing unit, the set of results according to an acceptability criteria in order to identify a plurality of candidate results, receiving a selection of one or more of the candidate results and for the or each selected candidate result displaying on a display the result and its associated geophysical data set to assist a user in making an assessment as to whether or not the probabilistic model is an acceptable model for the processing of the geophysical data sets, receiving from a user an assessment as to whether or not the probabilistic model is an acceptable model; and if the assessment received indicates the probabilistic model is an acceptable model for processing the geophysical data, outputting the probabilistic model and/or the training library.
Abstract translation: 这里描述的是用于生成可用于识别存储在存储器设备中的地球物理数据集中的目标特征的实例的概率模型的计算机实现的方法。 计算机实现的方法，使用计算机处理单元从训练库生成概率模型，以用于识别地球物理数据集中的目标特征的实例，使用计算机处理单元将概率模型应用于一个或多个 地球物理数据集合以生成多个结果，根据可接受性标准处理使用计算机处理单元的一组结果，以便识别多个候选结果，接收候选结果中的一个或多个的选择，并且为 所述或每个所选择的候选结果在显示器上显示结果及其相关联的地球物理数据集，以协助用户对概率模型是否是用于处理地球物理数据集的可接受模型进行评估，从 用户评估概率模型是否是可接受的模型; 并且如果收到的评估表明概率模型是用于处理地球物理数据的可接受模型，则输出概率模型和/或训练库。
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公开(公告)号：US09916539B2
公开(公告)日：2018-03-13
申请号：US14408957
申请日：2013-06-18
Applicant: THE UNIVERSITY OF SYDNEY
Inventor： Katherine Lee Silversides , Arman Melkumyan , Derek Wyman , Peter James Hatherly
CPC classification number: G06N7/005 , G01V5/06 , G06N99/005
Abstract: Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device. The computer implemented method using a computer processing unit to generate a probabilistic model from a training library for use in identifying instances of the target feature in the geophysical data sets, applying, using the computer processing unit, the probabilistic model to one or more of the geophysical data sets to generate a plurality of results, processing, using the computer processing unit, the set of results according to an acceptability criteria in order to identify a plurality of candidate results, receiving a selection of one or more of the candidate results and for the or each selected candidate result displaying on a display the result and its associated geophysical data set to assist a user in making an assessment as to whether or not the probabilistic model is an acceptable model for the processing of the geophysical data sets, receiving from a user an assessment as to whether or not the probabilistic model is an acceptable model; and if the assessment received indicates the probabilistic model is an acceptable model for processing the geophysical data, outputting the probabilistic model and/or the training library.
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