Abstract
This paper proposed a new remote sensing observation capability evaluation model (RSOCE) based on analytic hierarchy process to quantitatively evaluate the capability of multi-satellite cooperative remote sensing observation. The analytic hierarchical process model is a combination of qualitative and quantitative analysis of systematic decision analysis method. According to the objective of the remote sensing cooperative observation mission, we decompose the complex problem into several levels and a number of factors, compare and calculate various factors in pairs, and obtain the combination weights of different schemes. The model can be used to evaluate the observation capability of resource satellites. Taking the optical remote sensing satellites, such as China’s resource satellite series and GF-4, as examples, this paper verifies and evaluates the model for three typical tasks: point target observation, regional target observation, and moving target continuous observation. The results show that the model can provide quantitative reference and model support for comprehensive evaluation of the collaborative observation capability of remote sensing satellites.
Highlights
Remote sensing satellites can achieve full-time, large-scale, and highly reliable global observations, which is an important means to obtain information of global hotspots and large-scale regional surveys
In order to scientifically carry out the quantitative assessment of satellite resources and improve the capability of remote sensing information acquisition, this paper is to build a remote sensing observation capability evaluation model (RSOCE).The RSOCE model includes an evaluation index system and specific calculation formulas for remote sensing satellite information acquisition capabilities to establish the quantitative relation
We introduce the structure of the evaluation model and the functional composition of the system, the relationship between the evaluation process, and the evaluation index factors
Summary
Remote sensing satellites can achieve full-time, large-scale, and highly reliable global observations, which is an important means to obtain information of global hotspots and large-scale regional surveys. Remote sensing satellites with decentralized management usually provide emergency high-frequency observation services in the form of satellite maneuvering orbit or camera tilting. Its economic cost is extremely high, the orbit cannot fully meet the requirements of global emergency support [1]. In order to provide emergency coverage to any location on Earth, it is important to ensure that the correct combination of satellites is used. This requires a system model that can fully discover and use existing sensor technology to meet target observation requirements and achieve optimal effect of resource utilization for different application services
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