The Multimission VICAR Planner: Automated Image Processing for Scientific Data Analysis
نویسندگان
چکیده
The Multimission VICAR Planner (MVP) system is an AI planning system which constructs executable image processing programs to support Operational Science Analysis (OSA) requests made to the Jet Propulsion Laboratory (JPL) Multimission Image Processing Subsystem (MIPS). MVP accepts as input: image files and a high-level specification of desired corrections, enhancements, output properties (such as for mosaics). MVP then derives: unspecified but required processing steps, relevant image processing library programs, and appropriate parameter settings for such programs constructing an executable image processing program to fill the image processing request. MVP is currently available to analysts to fill requests and reduces the effort to fill radiometric correction, color triplet reconstruction, and mosaicking tasks by over an order
منابع مشابه
Towards an Intelligent Planning Knowledge Base Development Environment
This abstract describes work in developing knowledge base editing and debugging tools for the Multimission VICAR Planner (MVP) system. MVP uses Artificial Intelligence (AI) Planning techniques to automatically construct executable complex image processing procedures (using models of the smaller constituent image processing subprograms) in response to image processing requests made to the JPL Mu...
متن کاملUsing AI Planning Techniques to Automatically Generate Image Processing Procedures
This paper describes work on the Multimission VICAR Planner (MVP) system to automatically construct executable image processing procedures for custom image processing requests for the JPL Multimission Image Processing Lab (MIPL). This paper focuses on two issues. First, large search spaces caused by complex plans required the use of hand encoded control information. In order to address this in ...
متن کاملUsing artificial intelligence planning to automate science image data analysis
In recent times, improvements in imaging technology have made available an incredible array of dormation in image format. While powerful and sophisticated image processing software tools are available to prepare and analyze the data, these tools are complex and cumbersome, requiring significant expertise to properly operate. Thus, in order to extract (e.g., mine or analyze) useful information f...
متن کاملUsing Artificial Intelligence Planning Techniques to Automatically Reconfigure Software Modules
One important approach to enhancing software re-use is through the creation of large-scale software libraries. By modularizing functionality, many complex specialized applications can be built up from smaller reusable general purpose libraries. Consequently, many large software libraries have been formed for applications such as image processing and data analysis. However, knowing the requireme...
متن کاملUsing Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases
This paper describes the use of AI planning techniques to represent scientific, image processing, and software tool knowledge to automate knowledge discovery and data mining (e.g., science data analysis) of large image databases. In particular, we describe two fielded systems. TheMultimission VICAR Planner (MVP) which has been deployed for 2 years and is currently supporting science product gen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1995