A web-based model encapsulation and distributed processing method for remote sensing image processing
A remote sensing image processing and distributed processing technology, which is applied in the field of remote sensing image processing, can solve the problems of remote sensing image processing algorithms that cannot be conveniently packaged and distributed processing, and achieve the goals of improving rapid development and expansion, improving reusability, and reducing difficulty Effect
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specific Embodiment approach 1
[0023] Specific implementation mode 1: This implementation mode mainly describes the definition of remote sensing model attribute types in web process processing, such as figure 1 shown, including the following steps:
[0024] Step 1. Classify the remote sensing algorithm, abstract its algorithm name and remote sensing algorithm parameters, and obtain the remote sensing model attribute type;
[0025] Step 2, defining n types of features for the abstracted remote sensing model attribute type; each field of the n types of features is defined in a key-value pair manner, and the defined remote sensing model attribute type is obtained;
[0026] Step 3. Perform metadata description on the defined remote sensing model attribute type to obtain the described remote sensing model attribute type;
[0027] The construction method is mainly to describe the metadata of the remote sensing model to form the most basic remote sensing model description basic attribute type in the remote sensin...
specific Embodiment approach 2
[0031] Specific implementation mode 2: This implementation mode mainly deals with the encapsulation and description of model components in web process processing, such as figure 2 shown, including the following steps:
[0032] Step 1. Based on the remote sensing model attribute type, define different remote sensing models, and construct the abstract results in the specific implementation method 1 into a model component type package description file;
[0033] The construction method of this part is based on the basic information types of metadata attributes of remote sensing models described in Embodiment 1, and defines different remote sensing models. The defined attribute information is determined. By parsing the JSON language defined by the remote sensing model, this description definition builds a tree-shaped data structure, which takes the model node type in the definition language as the leaf node of the tree-shaped data structure, and uses the attribute data in ...
specific Embodiment approach 3
[0037] Specific implementation mode 3: This implementation mode mainly deals with the encapsulation and description mode of the running attribute file of the model component, such as image 3 shown, including the following steps:
[0038] Step 1. Extract the relevant information in the remote sensing model and remote sensing algorithm, and construct a model operation attribute package file including the remote sensing model name, remote sensing algorithm parameters, operating host, and operating environment.
[0039] The remote sensing model component model operation property file is constructed mainly by extracting the remote sensing model name, model type, model ID, model definition, operating environment, remote sensing algorithm name, implementation language, compilation system, and remote sensing algorithm parameter type , remote sensing algorithm parameter name, remote sensing algorithm parameter value, method used, constraint conditions, data processing method, d...
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