Trends and Visions for Small Satellite Missions

Sandau, Rainer; Paxton, L. J.; Esper, Jaime

doi:10.1007/978-1-4020-6943-7_3

Cited by 8 publications

(9 citation statements)

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“…The possibilities for larger acquisitions will increase as the availability of medium resolution earth observation sensors grow [18]. In a scenario in which a large number of acquisitions are available for processing, the added value of burned scar mapping with medium resolution sensors must also include economic cost considerations.…”

Section: Resultsmentioning

confidence: 99%

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Increasing Spatial Detail of Burned Scar Maps Using IRS‑AWiFS Data for Mediterranean Europe

et al. 2012

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Abstract:A two stage burned scar detection approach is applied to produce a burned scar map for Mediterranean Europe using IRS-AWiFS imagery acquired at the end of the 2009 fire season. The first stage identified burned scar seeds based on a learning algorithm (Artificial Neural Network) coupled with a bootstrap aggregation process. The second stage implemented a region growing process to extend the area of the burned scars. Several ancillary datasets were used for the accuracy assessment and a final visual check was performed to refine the burned scar product. Training data for the learning algorithm were obtained from MODIS-based polygons, which were generated by the Rapid Damage Assessment module of the European Forest Fire Information System. The map produced from this research is the first attempt to increase the spatial detail of current burned scar maps for the Mediterranean region. The map has been analyzed and compared to existing burned area polygons from the European Forest Fire Information System. The comparison showed that the IRS-AWiFS-based burned scar map improved the delineation of burn scars; in addition the process identified a number of small burned scars that were not detected on lower resolution sensor data. Nonetheless, the results do not clearly support the improved capability for the detection of smaller burned scars. A number of reasons can be provided for the under-detection of burned scars, these include: the lack of a full coverage and cloud free imagery, the time lag between forest fires and image acquisition date and the occurrence of fires after the image acquisition dates. On the other hand, the limited OPEN ACCESSRemote Sens. 2012, 4 727 spectral information combined with the presence of undetected cloud shadows and shaded slopes are reasons for the over-estimation of small burned scars.

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Section: Resultsmentioning

confidence: 99%

“…With the technological developments of the last decade, there has been a proliferation of high and medium resolution Earth observation sensors [18]. The integration of data from several sensors of similar characteristics is providing new opportunities to map burned scars over large extents.…”

Section: Introductionmentioning

confidence: 99%

Increasing Spatial Detail of Burned Scar Maps Using IRS‑AWiFS Data for Mediterranean Europe

et al. 2012

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“…These satellites will have numerous capabilities, including in situ measurements of the thermosphere, interferometry, communication and Earth observation [12]. Collaborative networks of CubeSats offer mission capabilities that are impractical for larger satellite platforms due to cost restrictions, including simultaneous in situ measurements of multiple locations in space and temporally separated measurements of precise points in space [16,11]. In addition, they offer lower cost and increased robustness compared to traditional satellites due to system reconfigurability [3].…”

Section: Introductionmentioning

confidence: 99%

Evolving distributed resource sharing for cubesat constellations

Agogino

HolmesParker

Tumer

2012

Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation

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Advances in miniaturization will allow for the commoditization of tiny satellites, known as "CubeSats." This commoditization in addition to reducing price and increasing the numbers of satellites, will also result in the "democratization" of small space missions where numerous institutions can launch their own satellites. However, current algorithms made for small tightly-managed space missions are ill-designed to take advantage of the huge amount of resources available in a decentralized collection of CubeSats. We believe that multiagent evolutionary algorithms are ideally suited to exploit the distributed nature of this new problem. This paper presents a solution where a customer in need of satellite observations can reliably obtain these observations at low cost, through the help of a multiagent system as an intermediary. Each agent in this system is assigned to a single CubeSat. Given a set of the customer's observational needs, and models of the CubeSats' salient properties, the agents evolve policies that attempt to purchase an appropriate set of observations at a low price. This system is especially flexible as it demands no centralized resource broker, contracts or commitments of resources. We perform a series of experiments on an Earth-observation domain. The results show that the evolutionary methods combined with multiagent techniques have three times the performance of a simple hand-coded allocation algorithm, and twice the performance of simple evolving agents.

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“…For this purpose, MEO satellite antenna systems are usually based on isoflux radiation. These systems provide radiation without variation in the strength power density to any point of the illuminated earth surface [2] as long as the satellites are spinning around the earth. For this requirement, it is necessary to establish a pattern shape for the synthesis of the radiation.…”

Section: Problem Statementmentioning

confidence: 99%

“…This factor is unwanted in the transmission for weather forecast, radio, television or global positioning services. These circumstances may be mitigated by the antenna system with an isoflux radiation [2]. Usually, large antennas as reflectors or horns are utilized for this purpose [3,4].…”

Section: Introductionmentioning

confidence: 99%

On the Design of Concentric Ring Arrays for Isoflux Radiation in Meo Satellites Based on Pso

Reyna¹,

Panduro²,

Rio-Bocio³

2011

PIER M

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Abstract-The design of concentric ring arrays for isoflux radiation is presented in this paper. This design considers the reduction of the side lobe level and isoflux radiation requirements for Medium Earth Orbit (MEO) satellites. The optimization problem considers the spacing among rings and levels of amplitude excitations. The well-known method of Particle Swarm Optimization (PSO) is utilized for this design case. The obtained results could cause the satellite hardware to be reduced significantly even more than that presented previously in the literature.

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Trends and Visions for Small Satellite Missions

Cited by 8 publications

References 0 publications

Increasing Spatial Detail of Burned Scar Maps Using IRS‑AWiFS Data for Mediterranean Europe

Increasing Spatial Detail of Burned Scar Maps Using IRS‑AWiFS Data for Mediterranean Europe

Evolving distributed resource sharing for cubesat constellations

On the Design of Concentric Ring Arrays for Isoflux Radiation in Meo Satellites Based on Pso

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