Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis
Author:
Funder
National Science Foundation
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference76 articles.
1. Deep belief active contours (dbac) with its application to oil spill segmentation from remotely sensed aerial imagery;Albalooshi;Photogramm. Eng. Remote Sens.,2018
2. Aspiras, T.H., 2015. Hierarchical autoassociative polynomial network for deep learning of complex manifolds (Ph.D. thesis), University of Dayton.
3. Hierarchical autoassociative polynimial network (hap net) for pattern recognition;Aspiras;Neurocomputing,2017
4. Hyperspectral region classification using a three-dimensional gabor filterbank;Bau;IEEE Trans. Geosci. Remote Sens.,2010
5. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Trans. Geosci. Remote Sens.,2005
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparison of machine learning and deep learning models for the assessment of rondo wine grape quality with a hyperspectral camera;Smart Agricultural Technology;2024-08
2. Multi-dimensional, multi-branch hyperspectral remote sensing image classification with limited training samples;Signal, Image and Video Processing;2024-06-20
3. Modelling yielding dilemma zone for drivers at non-signalised crosswalks;Transportation Research Part F: Traffic Psychology and Behaviour;2024-04
4. Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover classification of urban setting;Environmental Challenges;2024-01
5. Multiclass tumor identification using combined texture and statistical features;Medical & Biological Engineering & Computing;2022-11-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3