PROBA - project for on-board autonomy

Bermyn, Jo

doi:10.1016/s1290-0958(00)80013-1

Cited by 16 publications

(9 citation statements)

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“…The DCT based compression algorithm with compression ratio of 2.8 or 3.2 is used in The THEOS (CNES -Thailand2008) [6]. The JPEG baseline compression system is used in SUNSAT (South Africa 1999) [7], Proba-1 (ESA2001) [8] and Beijing-1(SSTL -China 2005). The JPEG2000 compression technique is implemented in IMS-1 (ISRO2008) [9], RASAT (Turkey 2009) and X-SAT (Singapore 2009) [1].…”

Section: Onboard Image Compression Systemsmentioning

confidence: 99%

Performance Analysis of JPEG2000 for Different Wavelets Transforms in satellite images

Krishnamoorthy¹,

Ajay²

2016

IJECS

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Abstract-Nowadays Onboard Image compression algorithm has its own place in all the satellites sent to space for various applications. The images that are obtained by satellites are of huge volume, there arises the need for storing the images onboard. Onboard Image compression is an efficient technique used to reduce the size of an image so that the amount of data stored in the onboard mass memory can be increased. The usage of image compression systems onboard reduces the power and downlink bandwidth required to transmit the image to the ground station. JPEG2000 is one of the most widely used image compression algorithm for observation satellites, due to its high compression ratio. In this paper the performance of JPEG2000 algorithm is analyzed for various wavelet families. The performance of the algorithm is evaluated using the peak signal to noise ratio (PSNR) of the reconstructed image.

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Section: Onboard Image Compression Systemsmentioning

confidence: 99%

Performance Analysis of JPEG2000 for Different Wavelets Transforms in satellite images

Krishnamoorthy¹,

Ajay²

2016

IJECS

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“…It was reported that a compression algorithm for it was under active development (Read 2003). The imager's data processing unit (DPU), called payload processing unit, consists of a mass memory unit (MMU) for data storage (1 Gb), comprising a DSP (ADSP21020) for image processing during and post-acquisition (Bermyn 2000). The complete memory content can be dumped in at least two passes of about 10 min in 12 h, via downlink at tuneable data rates from 2 kb s −1 to 1 Mb s −1 (Bermyn 2000).…”

Section: Hyperspectral Missions During 2000 -2005mentioning

confidence: 99%

Investigation into lossless hyperspectral image compression for satellite remote sensing

Noor

Vladimirova

2013

International Journal of Remote Sensing

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Hyperspectral sensors acquire images in many, very narrow, contiguous spectral bands throughout the visible, near-infrared (IR), mid-IR and thermal IR portions of the spectrum, thus requiring large data storage on board the satellite and high bandwidth of the downlink transmission channel to ground stations. Image compression techniques are required to compensate for the limitations in terms of on-board storage and communication link bandwidth. In most remote-sensing applications, preservation of the original information is important and urges studies on lossless compression techniques for on-board implementation. This article first reviews hyperspectral spaceborne missions and compression techniques for hyperspectral images used on board satellites. The rest of the article investigates the suitability of the integer Karhunen-Loève transform (KLT) for lossless inter-band compression in spaceborne hyperspectral imaging payloads. Clustering and tiling strategies are employed to reduce the computational complexity of the algorithm. The integer KLT performance is evaluated through a comprehensive numerical experimentation using four airborne and four spaceborne hyperspectral datasets. In addition, an implementation of the integer KLT algorithm is ported to an embedded platform including a digital signal processor (DSP). The DSP performance results are reported and compared with the desktop implementation. The effects of clustering and tiling techniques on the compression ratio and latency are assessed for both desktop and the DSP implementation.

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“…Intelligent imaging capabilities have already been incorporated in several EO small satellite missions for experimental purposes. For example, small satellites such as UoSat-5 (Fouquet 1992), BIRD (Haller et al 2002) and the project for on-board autonomy (PROBA) (Bermyn 2000) are carrying sophisticated experimental imaging payloads. This section briefly reviews advanced imaging payload systems of earth observing small satellites.…”

Section: Cotsmentioning

confidence: 99%

“…The small satellite mission of the European Space Agency (ESA) PROBA has advanced autonomy experiments on-board (Bermyn 2000). The Compact High Resolution Imaging Spectrometer (CHRIS), an EO instrument, demonstrated on-board autonomy with respect to the attitude and orbit control system (AOCS), data handling and resource management.…”

Section: Cotsmentioning

confidence: 99%

An intelligent decision-making system for flood monitoring from space

Vladimirova

Yuhaniz

2009

Soft Comput

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This paper presents the results of a feasibility study on intelligent image processing for flood monitoring on board satellites. The ability to detect temporal changes in images is one of the most important functions in intelligent image processing systems for hazard and disaster monitoring applications. An automatic change detection system is proposed, the purpose of which is to monitor particular areas on earth for flooding events and give warnings to the authorities accordingly. A novel solution to flood detection based on the combined use of optical multispectral imagery and global positioning system reflectometry data is introduced. A fuzzy inference engine is used in the decision-making process, which generates control signals to other subsystems on board the satellite.

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PROBA - project for on-board autonomy

Cited by 16 publications

References 0 publications

Performance Analysis of JPEG2000 for Different Wavelets Transforms in satellite images

Performance Analysis of JPEG2000 for Different Wavelets Transforms in satellite images

Investigation into lossless hyperspectral image compression for satellite remote sensing

An intelligent decision-making system for flood monitoring from space

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