Remote sensing provides huge multi-temporal data for earth surface, which has not been used completely. In the study, based on Visual C++ and Geographic Information System (GIS) platform, a multi-temporal data processing system using Grey Model (GM) is developed. By the interactive system, some functions, such as data input/output, visualization, simulation, prediction, data transformation, comparison, and analysis, are carried out. Specifically, a Generalization GM (GGM), an extension of GM, is applied to process unequal time interval data. The procedure of “line-basic line-line” is also proposed to analyze the raster images, where every row or column of the image is taken as one basic line, a minimal unit of this system. With the help of GIS, the vector data can be processed together with raster data. At last, the system we developed is applied successfully to urban growth prediction by multi-temporal remotely sensed data.
Multi-temporal Remotely Sensed Data Processing System
2008 Congress on Image and Signal Processing ; 4 ; 758-762
2008-05-01
1304942 byte
Conference paper
Electronic Resource
English
Processing and Applications of Remotely Sensed Data
Springer Verlag | 2017
|Digital Processing of Remotely Sensed Imagery
NTRS | 1997
|Digital processing of remotely sensed images
TIBKAT | 1980
|Data analysis and remotely sensed data
AIAA | 1970
|