Image classification with superpixels and feature fusion method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Image classification with superpixels and feature fusion method

Published:2021-03 Issue:1 Volume:19 Page:100096
ISSN:1674-862X
Container-title:Journal of Electronic Science and Technology
language:en
Short-container-title:Journal of Electronic Science and Technology

Author:

Yang Feng,Ma Zheng,Xie Mei

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Signal Processing

Reference29 articles.

1. Remote sensing image scene classification using bag of convolutional features;Cheng;Geosci. Rem. Sens. Lett. IEEE,2017

2. A review of image set classification;Zhao;Neurocomputing,2019

3. Dictionaries of deep features for land-use scene classification of very high spatial resolution images;Flores;Pattern Recogn.,2019

4. Foreground Fisher vector: encoding class-relevant foreground to improve image classification;Pan;IEEE Trans. Image Process.,2019

5. Bag-of-words and object-based classification for cloud extraction from satellite imagery;Yuan;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015

Cited by 21 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. Land cover classification of UAV visible remote sensing based on superpixel;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

2. An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-04-25

3. An efficient recognition of Handwritten Kannada Script using Variable Attention-based Coati Integrated Bi Directional Long Short-Term Memory;Multimedia Tools and Applications;2024-03-27

4. Highly compressed image representation for classification and content retrieval;Integrated Computer-Aided Engineering;2023-12-21

5. A Comprehensive Review of the Research of the “Eye–Brain–Hand” Harvesting System in Smart Agriculture;Agronomy;2023-08-26

同舟云学术

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