The 5th Int'l Conference on Remote Sensing Technologies and Applications (icrsta 2019)

The 5th Int'l Conference on Remote Sensing Technologies and Applications (icrsta 2019)

Asistiré:

jul
19

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Grand Link Hotel

Guizhou, China Mapa

The 5th Int'l Conference on Remote Sensing Technologies and Applications (ICRSTA 2019)

Conference Date: July 19-21, 2019
Conference Venue: Guilin, China
Website: http://www.confjuly.org/conference/ICRSTA2019/
Online Registration System: http://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1121

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: Open access journal related to Computer and Communications
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: intelconf@163.com
Tel: +86 132 6470 2250
QQ: 3025797047
WeChat: 3025797047
Conference Topics

Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest:

Microwave Remote Sensing
Optical Remote Sensing
Sensor Systems and Platforms
Mapping / Photogrammetry
GIS / Earth Monitoring and Mapping
Spatial Technologies and Landscape
Image Processing Techniques
Classification and Data Mining Techniques
Global Positioning and Navigation Systems
Education and Remote Sensing
Applications in Natural Resources and Environmental Management
Applications in Biodiversity Conservation and Management
Applications in Coastal and Marine Management
Applications in Urban Planning and Management
Applications in Water Resource Management
Applications in Traffic and Transportation
Applications in Agriculture and Forestry
Applications in Natural Disasters/Hazards
Applications in Earth’s Climate Change
Applications in Health Management
Applications in Archaeology
Innovative Algorithms
Automated feature extraction
Object extraction
Point cloud processing
3D scene reconstruction
Spatio-temporal data fusion
Range image processing
Photogrammetric computer vision
Multi-scale segmentation
Support Vector Machine classifie

Sarah Fang
Organizador:
 Sarah Fang