Special Session

Special Session

Session Ⅰ- Remote Sensing Image Intelligent Interpretation

Chair: Prof.  Qiang Li, Xidian University, China

           Prof. Chao Shen, Xi’an Technological University, China

Keywords:

• Remote sensing

• Deep learning

• Image Analysis

• Computer Vision

Summary: 

Remote sensing image intelligent interpretation is a key technology of geographic information science. It utilizes advanced algorithms such as computer vision and artificial intelligence to automatically and efficiently analyze and understand mass data from remote sensing images obtained by satellites, aircraft or UAV, and provide accurate land surface change information. It plays an important role in many fields, such as environmental protection, urban planning, disaster response, etc. Currently, due to the progress of data acquisition, images from different sources present new characteristics, i.e., large-scale, high-dimensional and complex structures. How to analyze these different types of data has become the crucial technique to improve the accuracy and comprehension of scene analysis and understanding. Meanwhile, the existing methods are difficult to accurately analyze and understand the scene in the complex and changeable environment. To solve these challenges, we invite researchers from academia and industry to publish original research on the technologies and applications related to remote sensing image intelligent interpretation. Its aims to explore more accurate and intelligent image interpretation methods, so as to promote the development of related fields.

Topics: 

• Multi-source image fusion

• Image matching

• Image quality enhancement

• Geographic information extraction, such as road, building, water body, etc

• Object detection and recognition

• Change detection and anomaly detection

• Scene analysis and understanding

• Multi-modal learning