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Geospatial web service composition is a promising means for processing and analyzing geospatial data in distributed computing environments. However, convenient and effective approaches for assisting the invocation of geoprocessing workflows are still missing. Invocation errors frustrate users and eventually impact the popularity and application of geoprocessing workflows due to their complexity, inadequate description, constraints, and prompts for input/output parameters, workflow models, and their components. This article proposes an extension method for easy invocation of geoprocessing workflows to solve these problems. The proposed method facilitates the generation of Graphical User Interfaces (GUIs) and invocation messages, for human-computer interaction and client-workflow interaction respectively, by supplementing verification and constraints for workflow descriptions. Furthermore, by providing descriptive information, constraint mechanisms, and visualization functions, this approach enhances human-computer interactivity during invocation. An exemplary user case demonstrates the feasibility of the method. [ABSTRACT FROM AUTHOR]

Existing methods that incorporate spatial information into a traditional Bag-of-Visual-Words (BoVW) model consider the spatial arrangement of an image but ignore pixel homogeneity in land-use remote sensing images. In this letter, we present an improved correlaton model to jointly integrate appearance, spatial correlation, and pixel homogeneity using multiscale segmentation. The effectiveness of the proposed method was tested on a ground truth image data set of 21 land-use classes manually extracted from high-resolution remote sensing images. The experimental results demonstrate that our improved correlaton model can promote classification and outperforms existing methods such as the traditional BoVW model, spatial pyramid matching model, and the traditional correlaton model. [ABSTRACT FROM PUBLISHER]