Geo-image processing is a key image analysis technology, which is mainly used to process and analyze geospatial data, such as satellite images, aerial photos and topographic maps. This technology has a wide range of applications in geographic information systems (GIS), remote sensing and environmental monitoring.
Geographic image processing is used to analyze terrain images to identify and classify different topographical features such as mountains, rivers, and plains. This is very important for geological research and geomorphology.
Geographic image processing techniques allow classification of land cover types such as forests, farmland and urban areas, contributing to land-use planning and environmental protection.
Geographic image processing is used in environmental monitoring to track and analyze environmental changes caused by natural and human factors, such as deforestation, urban expansion and flooding.
After a natural disaster, such as a flood, earthquake or fire, geographic image processing techniques can quickly assess the extent and severity of the disaster impact and guide relief and reconstruction efforts.
In urban and regional planning, geo-image processing techniques can be used to analyze the layout of urban sprawl, transportation networks and infrastructure to support urban planning and sustainable development.