Comparative analysis of feature extraction methods in satellite imagery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparative analysis of feature extraction methods in satellite imagery

Published:2017-12-01 Issue:04 Volume:11 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Remote Sens

Author:

Karim Shahid¹,Zhang Ye¹,Asif Muhammad Rizwan²,Ali Saad³

Affiliation:

1. Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin

2. Xi’an Jiaotong University, School of Electronics and Information Engineering, Xi’an

3. Harbin Institute of Technology, School of Mechatronics Engineering, Harbin

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference45 articles.

1. Ensemble of binary SVM classifiers based on PCA and LDA feature extraction for intrusion detection

2. Extraction of palmprint texture features using combined DWT-DCT and local binary pattern

3. Two-step Feature Extraction in a Transform domain for face recognition

4. ICA and PCA integrated feature extraction for classification;Reza,2016

5. Image Enhancement and Feature Extraction Based on Low-Resolution Satellite Data

Cited by 12 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. Unsupervised Deep Learning Approach to Analyze Spatio-Temporal Change in Satellite Imagery;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

2. Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive SIFT keypoint fusion;Multimedia Tools and Applications;2022-03-07

3. Feature Extraction and Object Detection Using Fast-Convolutional Neural Network for Remote Sensing Satellite Image;Journal of the Indian Society of Remote Sensing;2022-02-06

4. Bag of Visual Words Methodology in Remote Sensing—A Review;Advances in Intelligent Systems and Computing;2021-08-14

5. Pebrine diagnosis using quantitative phase imaging and machine learning;Journal of Biophotonics;2021-05-16

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