The process of satellite image data processing

Aug 21, 2023

Data acquisition and preprocessing: Raw data acquired from satellites may require preprocessing, including radiometric calibration, geometric correction, etc., to ensure the quality and accuracy of the data.

Image stitching and fusion: The image of different satellites or different points in time is spliced and fused to obtain a larger range or higher resolution data.

Feature extraction and classification: Remote sensing image processing software is used to extract and classify images to identify different features and objects on the surface, such as buildings, water bodies, vegetation, etc.

Terrain modeling and elevation extraction: from stereo, optical or SAR data, terrain modeling and elevation extraction are performed to generate a digital elevation model (DEM) or digital surface model (DSM).

Data fusion and analysis: multi-source data will be fused, combined with GIS technology, surface analysis, change detection, environmental monitoring and other applications.