Información de la conferencia
RSMBD 2026: International Conference on Remote Sensing, Measurement and Big Data
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Día de Entrega:
2026-03-10 Extended
Fecha de Notificación:
2026-04-22
Fecha de Conferencia:
2026-05-15
Ubicación:
Changsha, China
Años:
2
Vistas: 778   Seguidores: 0   Asistentes: 0

Solicitud de Artículos
We warmly welcome scholars from all over the world to actively submit and participate.  Let us witness the development and progress of Remote Sensing, Measurement and Big Data together on this platform, and paint a blueprint for the future together.

Remote Sensing

> Application of Computer Vision and Machine Learning in Remote Sensing and Surveying
> Application of remote sensing technology in environmental monitoring and resource management
> Applications of Remote Sensing in Environmental and Resource Management
> Computer algorithms and models based on remote sensing data monitoring
> Design innovation of photon technology in remote sensing devices
> Disaster Monitoring and Early Warning
> Hyperspectral Remote Sensing
> Intelligent Remote Sensing and Artificial Intelligence Integration
> Interdisciplinary Applications of Remote Sensing
> Microwave Remote Sensing
> Novel Remote Sensing Sensors and Platforms
> Optical Remote Sensing
> Photon enhancement technique for remote sensing data
> Radar Remote Sensing
> Remote Sensing Data Preprocessing and Correction
> Remote sensing data preprocessing and correction methods
> Remote sensing data fusion and feature extraction
> Spatio-temporal Data Fusion
> Sustainable Remote Sensing Technologies

Measurement

> Applications of Measurement Technologies in Infrastructure Monitoring
> High-Precision Measurement Technologies and Methods
> Multi-Sensor Data Fusion and Measurement
>Quantum Remote Sensing and Measurement Technologies

Big Data

> Big Data Analysis and Processing
> Big Data-Driven Environmental Monitoring and Decision Support
> Fusion of Novel Measurement and Big Data Technologies
> Intelligent Analysis and Mining of Remote Sensing Big Data
> Remote sensing big data
> Search, Mining and Visualization of Big Data
> Storage and Computing for Remote Sensing Big Data
Última Actualización Por Dou Sun en 2026-02-26
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