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Current position Naoto Yokoya is a lecturer with the Department of Complexity of Science and Engineering, the Department of Computer Science, and the Department of Information Science at the University of Tokyo, running Sugiyama-Yokoya Laboratory. He is the unit leader of the Geoinformatics Unit at the RIKEN Center for Advanced Intelligence Project (AIP). His research interests include...

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naotoyokoya.com was registered 1 decade 1 year ago. It is a domain having .com extension. It is estimated worth of $ 8.95 and have a daily income of around $ 0.15. As no active threats were reported recently, naotoyokoya.com is SAFE to browse.

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Daily Unique Visitors: Not Applicable
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Estimated Valuation

Income Per Day: $ 0.15
Estimated Worth: $ 8.95

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Google Indexed Pages: Not Applicable
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Google Backlinks: Not Applicable
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Safety Information

Google Safe Browsing: No Risk Issues
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WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: Not Applicable
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

59.106.19.55

Hosted Country:

Japan JP

Location Latitude:

35.6895

Location Longitude:

139.692

Traffic Classification

Total Traffic: No Data
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Search Engine Results For naotoyokoya.com

Naoto YOKOYA

- https://naotoyokoya.com/

He is an associate editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) and the chair of the IEEE GRSS Image ...


Naoto YOKOYA

- https://naotoyokoya.com/Download.html

Naoto Yokoya. Yokoya Naoto. 横矢. 横矢直人. University of Tokyo. 東京大学. hyperspectral. ハイパースペクトル. remote sensing. リモートセンシング.


Naoto YOKOYA

- https://naotoyokoya.com/Publications.html

東京大学. hyperspectral. ハイパースペクトル. remote sensing. リモート センシング. pattern recognition. パターン認識. data fusion. データ融合. Naoto YOKOYA


Naoto YOKOYA

- https://naotoyokoya.com/Research.html

My research interests lie at the crossroads of remote sensing, computer vision, and machine learning. The goal of my research is to build intelligent and ...


Preprocessing of hyperspectral imagery with ... - Naoto YOKOYA

- http://naotoyokoya.com/assets/pdf/NYokoyaSPIE7857-10.pdf

Preprocessing of hyperspectral imagery with consideration of smile and keystone properties. Naoto Yokoya* a. , Norihide Miyamura b and Akira Iwasaki b a.


COUPLED NON-NEGATIVE MATRIX ... - Naoto YOKOYA

- http://www.naotoyokoya.com/assets/pdf/NYokoyaIGARSS2011.pdf

AND MULTISPECTRAL DATA FUSION: APPLICATION TO PASTURE CLASSIFICATION. Naoto Yokoya,1 Takehisa Yairi,2 and Akira Iwasaki2. 1Department of ...


A MAXIMUM NOISE FRACTION TRANSFORM ... - Naoto YOKOYA

- http://naotoyokoya.com/assets/pdf/NYokoyaACRS2010.pdf

When hyperspectral data contains a spectral distortion, also known as a “smile” property, the first component of the MNF, which should have high image quality, ...


Object Detection Based on Sparse Representation ... - Naoto YOKOYA

- https://naotoyokoya.com/assets/pdf/NYokoyaJSTARS2015.pdf

1. Object Detection Based on Sparse Representation and Hough Voting for Optical Remote. Sensing Imagery. Naoto Yokoya, Member, IEEE, and Akira Iwasaki.


трс΀к΀норр΀ллйк΀кͿккͿглпͨйй Ылйкк ΒΎΎΎ - Naoto YOKOYA

- http://naotoyokoya.com/assets/pdf/NYokoyaWHISPERS2011.pdf

Coupled non-negative matrix factorization (CNMF) is ap- plied to hyperspectral, multispectral, and panchromatic data fusion. This unmixing based method extracts ...


OBJECT LOCALIZATION BASED ON SPARSE ... - Naoto YOKOYA

- http://www.naotoyokoya.com/assets/pdf/NYokoyaIGARSS2014b.pdf

Naoto Yokoya and Akira Iwasaki. Department of Advanced Interdisciplinary Studies, The University of Tokyo, Japan. ABSTRACT. In this paper, we propose a  ...


MULTIMODAL, MULTITEMPORAL, AND ... - Naoto YOKOYA

- http://naotoyokoya.com/assets/pdf/NYokoyaIGARSS2017.pdf

LOCAL CLIMATE ZONES CLASSIFICATION BASED ON ENSEMBLE LEARNING . Naoto Yokoya∗,†,‡, Pedram Ghamisi†,‡, and Junshi Xia∗. ∗Department of ...


Cross-Calibration for Data Fusion of EO-1 ... - Naoto YOKOYA

- http://www.naotoyokoya.com/assets/pdf/NYokoyaJSTARS2013.pdf

Naoto Yokoya, Norimasa Mayumi, and Akira Iwasaki. Abstract—The data fusion of low spatial-resolution hyperspec- tral and high spatial-resolution multispectral  ...


HYPERSPECTRAL AND MULTISPECTRAL DATA ... - Naoto YOKOYA

- http://www.naotoyokoya.com/assets/pdf/NYokoyaIGARSS2013.pdf

Naoto Yokoya and Akira Iwasaki. Research Center for Advanced Science and Technology, The University of Tokyo, Japan [email protected].


Naoto Yokoya

- https://www.k.u-tokyo.ac.jp/pros-e/person/naoto_yokoya/naoto_yokoya.htm

Naoto Yokoya / Lecturer / Division of Transdisciplinary Sciences. Department of Complexity Science and Engineering / / Image analysis, geoinformatics


‪Naoto Yokoya‬ - ‪Google Scholar‬

- https://scholar.google.com/citations?user=DJ2KOn8AAAAJ&hl=th

Naoto Yokoya. The University of Tokyo. ยืนยันอีเมลแล้วที่ k.u-tokyo.ac.jp - หน้าแรก · Image AnalysisData FusionRemote Sensing. บทความอ้างโดยผู้เขียนร่วม ...


Hyperspectral and Multispectral Data Fusion: A ... - Naoto YOKOYA

- http://yokoya1985.sakura.ne.jp/assets/pdf/NYokoyaGRSM2017.pdf

Naoto Yokoya, Member, IEEE, Claas Grohnfeldt, Student Member, IEEE, and Jocelyn Chanussot, Fellow, IEEE. Abstract—In recent years, enormous efforts have ...


Geoinformatics Unit

- https://www.geoinformatics2018.com/member/naotoyokoya/

Naoto Yokoya is a lecturer at the University of Tokyo and the unit leader at Geoinformatics Unit, the RIKEN Center for Advanced Intelligence Project (AIP), Japan.


RSHewei - Google Sites

- https://sites.google.com/site/rshewei/home

[10] Wei He, Naoto Yokoya, Longhao Yuan and Qibin Zhao, “Remote sensing image reconstruction using tensor ring completion and total-variation”, TGRS 2019. [ ...


Geoinformatics Unit | RIKEN

- https://www.riken.jp/en/research/labs/aip/goalorient_tech/geoinf/index.html

Naoto Yokoya(D.Eng.) We are studying geoinformatics to understand the current state of the Earth from multimodal spatio-temporal data such as satellite images,  ...


danfenghong/IEEE_TGRS_MDL-RS: Danfeng Hong ... - GitHub

- https://github.com/danfenghong/IEEE_TGRS_MDL-RS

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets ...

Page Resources Breakdown

Homepage Links Analysis

Website Inpage Analysis

H1 Headings: 16 H2 Headings: 9
H3 Headings: Not Applicable H4 Headings: Not Applicable
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: Not Applicable
Google Adsense: Not Applicable Google Analytics: Not Applicable

Two Phrase Analysis

Words Occurrences Density Possible Spam
Remote Sensing 23 3.1 % No
University of 10 1.348 % No
of Tokyo 9 1.213 % No
and Remote 7 0.943 % No
Department of 6 0.809 % No
Tokyo Japan 6 0.809 % No
The University 6 0.809 % No
Data Fusion 5 0.674 % No
Selected Topics 5 0.674 % No
IEEE Transactions 5 0.674 % No
IEEE Journal 5 0.674 % No
of Science 5 0.674 % No
Transactions on 5 0.674 % No
Science and 5 0.674 % No
of the 4 0.539 % No
Journal of 4 0.539 % No
Topics in 4 0.539 % No
Mar PI 4 0.539 % No
Promotion of 4 0.539 % No
Science JSPS 4 0.539 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
The University of Tokyo 6 0.809 % No
University of Tokyo Japan 6 0.809 % No
Japan Society for the 4 0.539 % No
Society for the Promotion 4 0.539 % No
Promotion of Science JSPS 4 0.539 % No
Geoscience and Remote Sensing 4 0.539 % No
for the Promotion of 4 0.539 % No
the Promotion of Science 4 0.539 % No
Aeronautics and Astronautics The 3 0.404 % No
in Applied Earth Observations 3 0.404 % No
Topics in Applied Earth 3 0.404 % No
IEEE Geoscience and Remote 3 0.404 % No
and Astronautics The University 3 0.404 % No
Applied Earth Observations and 3 0.404 % No
Astronautics The University of 3 0.404 % No
Observations and Remote Sensing 3 0.404 % No
Earth Observations and Remote 3 0.404 % No
Journal of Selected Topics 3 0.404 % No
Selected Topics in Applied 3 0.404 % No
Department of Aeronautics and 3 0.404 % No

Websites Hosted on Same IP (i.e. 59.106.19.55)

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HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Server: nginx
Date: Sat, 06 Mar 2021 18:15:10 GMT
Content-Type: text/html
Content-Length: 16024
Connection: keep-alive
Last-Modified: Tue, 02 Mar 2021 15:29:44 GMT
ETag: "3e98-5bc8f67602d47"
Accept-Ranges: bytes

Domain Information

Domain Registrar: GMO Internet, Inc. d/b/a Onamae.com
Registration Date: 2013-07-02 1 decade 1 year 10 months ago
Last Modified: 2020-06-15 4 years 10 months 3 weeks ago

Domain Nameserver Information

Host IP Address Country
ns1.dns.ne.jp 61.211.236.1 Japan Japan
ns2.dns.ne.jp 133.167.21.1 Japan Japan

DNS Record Analysis

Host Type TTL Extra
naotoyokoya.com A 3593 IP: 59.106.19.55
naotoyokoya.com NS 3600 Target: ns1.dns.ne.jp
naotoyokoya.com NS 3600 Target: ns2.dns.ne.jp
naotoyokoya.com SOA 3600 MNAME: master.dns.ne.jp
RNAME: tech.sakura.ad.jp
Serial: 2013070207
Refresh: 3600
Retry: 900
Expire: 3600000
naotoyokoya.com MX 3600 Priority: 10
Target: naotoyokoya.com

Full WHOIS Lookup

Domain Name: NAOTOYOKOYA.COM
Registry Domain ID:
1812235476_DOMAIN_COM-VRSN
Registrar WHOIS Server:
whois.discount-domain.com
Registrar URL: http://gmo.jp
Updated
Date: 2020-06-15T15:26:49Z
Creation Date:
2013-07-01T21:44:24Z
Registry Expiry Date:
2021-07-01T21:44:24Z
Registrar: GMO Internet, Inc. d/b/a
Onamae.com
Registrar IANA ID: 49
Registrar Abuse Contact
Email: [email protected]
Registrar Abuse Contact Phone:
+81.337709199
Domain Status: ok https://icann.org/epp#ok
Name
Server: NS1.DNS.NE.JP
Name Server: NS2.DNS.NE.JP
DNSSEC:
unsigned
URL of the ICANN Whois Inaccuracy Complaint Form:
https://www.icann.org/wicf/
>>> Last update of whois database:
2021-03-06T18:15:01Z

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