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Component Analysis-Based Change Detection for Sea Floor Imagery and Prelude to Sea-Surface Object Detection

机译：基于组分分析的海底图像的变化检测和海面对象检测的前奏

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作者
G-Michael, Tesfaye.;
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作者单位

The Florida State University.;

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授予单位 The Florida State University.;
学科
学位 Ph.D.
年度 2018
页码 147 p.
总页数 147
原文格式 PDF
正文语种 eng
中图分类 AAI10744395;
关键词
Acd; CCD; Change detection; Electromagnetic scattering; ICA; Synthetic aperture sonar;

机译：ACD;CCD;改变检测;电磁散射;ICA;合成孔子声纳;
入库时间 2022-08-17 12:01:45

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1. Principal Component Analysis-Based Object Detection/Recognition Chip for Wireless Interconnected Three-Dimensional Integration [J] . Hiroshi Ando, Seiji Kameda, Daisuke Arizono, Japanese journal of applied physics . 2008,第4issue2期

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2. Detection of sea-surface wind patterns associated with convective systems and their evolution using a combination of Sentinel-1 and Radarsat-2 imagery [J] . La Tran Vu, Messager Christophe Remote sensing letters . 2020,第4a6期

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3. Adaptive Component Selection-Based Discriminative Model for Object Detection in High-Resolution SAR Imagery [J] . Chu He, Mingxia Tu, Dehui Xiong, ISPRS International Journal of Geo-Information . 2018,第2期

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4. Change detection for high-resolution remote sensing imagery using object-oriented change vector analysis method [C] . Liang Li, Xue Li, Yun Zhang, IEEE International Geoscience and Remote Sensing Symposium . 2016

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7. Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery [O] . Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, 2020

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Component Analysis-Based Change Detection for Sea Floor Imagery and Prelude to Sea-Surface Object Detection

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