Design of high-spatial resolution remote sensing data processing system and its implementation

Design of high-spatial resolution remote sensing data processing system and its implementation

High-spatial resolution remote sensing data were received much more in recent years. It includes IKONOS data, SPOT-5 PAN data, Quickbird data, etc. They have been used in urban remote sensing, urban planning, precision agriculture, etc. However, there is not an applicable software system for process...

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Hauptverfasser: Shuhe Zhao, Ziyu Wang, Cuiyu Song, Zhongzhong Wu, Xiuwan Chen
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Change detection algorithms
Data processing
Geographic Information Systems
Geoscience and remote sensing
Gray-scale
Image resolution
Image segmentation
Remote sensing
Software systems
Spatial resolution
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Beschreibung
Zusammenfassung:High-spatial resolution remote sensing data were received much more in recent years. It includes IKONOS data, SPOT-5 PAN data, Quickbird data, etc. They have been used in urban remote sensing, urban planning, precision agriculture, etc. However, there is not an applicable software system for processing high-spatial resolution remote sensing data. The paper introduced a design frame for high-spatial resolution data processing system. Some key methods for processing high spatial-resolution data had been studied. Implementation of methods and system were carried out using Visual C++.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2005.1526252