Currently, the need for professional fast batch processing of remote sensing images becomes more and more urgent.
Production and application units of remote sensing data require the processing software not only to process images by
operating menu, but also to customize different processing flows rapidly according to different needs. Processing flow
needs to have reusability so that either the existing flow or new customized flow is available to professional processing,
even to non-professionals. And extendibility is demanded to allow newly-added function algorithm modules or a mature
flow library can be used for flow customization directly. However, the needs mentioned above can not be satisfied by the
existing remote sensing software. Consequently, this paper puts forward a visible flow customization approach and its
implementation mechanism. This approach has fully considered features of professional image processing such as
visuality, variety, complexity, reusability, expansibility and high efficiency. With this approach, an efficient and
integrated experimental system is established, which has obtained expected performance in practical application of
remote sensing image processing (for example, change detection).
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