In this paper, we describe the Earth observation mission we have been working on, including its requirements in terms of autonomy. Then, we describe the decision problem to manage, the reactive/deliberative architecture we used for on-line decision-making, the decision rules used by the reactive part, and the iterated stochastic greedy search used by the deliberative part. Finally, we present r...

Earth Observation Satellite (EOS) scheduling is an important oversubscribed constraint optimization problem. Permutation-based scheduling methods have recently been shown to be effective on these problems. However, the new agile EOS satellites present additional scheduling complexity because they allow image acquisition over a window of possible observation times. Constraint propagation algorit...

The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades. Many studies have proposed non-iterative heuristic construction algorithms iterative meta-heuristic to solve this problem. However, spend relatively shorter time at expense of solution quality, while accomplish h...

Recently, earth observation system by using satellite network have attracted much attention due to their wide coverage and disaster resistance. Although the system is useful for collecting various data, which have an affect on a natural disaster, ecology and so forth, earth observation satellite hardly send the collected observation data to the ground station. This is because that the earth obs...

This paper presents an indicator-based multi-objective local search (IBMOLS) to solve a multi-objective optimization problem. The problem concerns the selection and scheduling of observations for an agile Earth observing satellite. The mission of an Earth observing satellite is to obtain photographs of the Earth surface to satisfy user requirements. Requests from several users have to be manage...

In this paper, we concern multi-objective mission planning problem of a constellation of the next generation agile Earth-observing satellites. As usual, the goal of Earth-observing satellite mission planning is to maximize the sum weights of selected tasks. But for agile satellites, based on its stronger ability, single criterion is often a poor measure of planning results. For agile satellite,...

Monte Carlo based non-linear mixel (mixed pixel) model of visible to near infrared radiometer of earth observation satellite imagery is proposed. Through comparative studies with actual real earth observation satellite imagery data between conventional linear mixel model and the proposed non-linear mixel model, it is found that the proposed mixel model represents the pixels in concern much prec...

Monte Carlo based non-linear mixel (mixed pixel) model of visible to near infrared radiometer of earth observation satellite imagery is proposed. Through comparative studies with actual real earth observation satellite imagery data between conventional linear mixel model and the proposed non-linear mixel model, it is found that the proposed mixel model represents the pixels in concern much prec...

The mission of an Agile Earth Observing Satellite (AEOS) is to acquire photographs on the Earth surface, in response to observation requests. The management problem of an AEOS is to select and schedule a subset of weighted images among a set of candidate ones which must satisfy imperative constraints and at the same time maximize a given profit function. This new generation of satellites, like ...

The role and contribution of satellite data in operational oceanography is reviewed, with emphasis on northern European seas. The possibility to observe various ocean parameters and processes by existing satellite sensors, such as optical instruments, infrared radiometers, passive Ž . microwave radiometers, and active microwave systems altimeter, scatterometer, SAR is discussed. The basic param...