Method and system for selecting observation scheme of multi-sensor collaborative observation task

Abstract

The embodiment of the invention provides a method and a system for selecting an observation scheme of a multi-sensor collaborative observation task, and belongs to the technical field of remote sensing of satellites. The method comprises the following steps: calculating a first index value of each observation scheme in a basic index layer; constructing a two-to-three layer pairwise comparison matrix to determine the weight of each index of the basic index layer; performing normalization calculation on each index of the basic index layers of the different observation schemes to obtain a membership matrix; based on a D-S evidence theory aggregation principle, obtaining a second index value of each index of the capability index layer according to the weight and the membership matrix; adopting a TODIM algorithm to aggregate each second index value to obtain a comprehensive probability assignment function of each observation scheme; and selecting an observation scheme according to the comprehensive probability distribution function. According to the method and the system, the optimal observation scheme can be accurately selected to realize efficient utilization of satellite resources.

Description

technical field [0001] The invention relates to the technical field of satellite remote sensing, in particular to a method and system for selecting an observation plan for a multi-sensor cooperative observation task. Background technique [0002] With the development of remote sensing technology, the acquired remote sensing data is becoming more and more abundant. Space remote sensing information technology has gradually realized the transformation from single sensor data acquisition, analysis and application to multi-platform, multi-sensor, multi-band, multi-temporal and multi-resolution data. Comprehensive analysis and transition of applications. This also provides a new idea for my country's remote sensing imaging: from single sensor monitoring and reconnaissance to multi-sensor collaborative detection. How to objectively, systematically and comprehensively evaluate the performance of multi-sensor collaborative observation has become an urgent problem to be solved in thi...

AI Technical Summary

Problems solved by technology

In the process of realizing the present invention, the inventors of the present application found that in the prior art, due to the insufficient comprehensiveness and perfection of the index system in the prior art, the various assessment standards for the design of the multi-platform task planning scheme were not fully considered

Moreover, the existing evaluation models are relatively simple, and there are a large number of subjective factors, which makes the results of the screening scheme often not accurate enough

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