Development of Spaceborne Small Hyperspectral sensor HSC-III for Micro Satellite

Aoyanagi, Yoshihide; Satori, Shin; Totani, Tsuyoshi; Yasunaka, Toshihiko; Takeuchi, Yusuke

doi:10.1007/978-3-642-03501-2_31

Cited by 4 publications

(1 citation statement)

References 1 publication

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“…In 2006, we also have successfully launched pico-satellite "HIT-SAT" which has mission of demonstrated bus-subsystem using lots of COTS (Commercial-Off the Shelf) components for TAIKI. This satellite is characterized by a spaceborne hyperspectral sensor "HSC-III" 4) . The mission objectives of TAIKI are summarized in the following: 1) To provide hyperspectral image for agricultural remote sensing, 2) To acquire visualization of the effect of climate change on plant distribution.…”

Section: Taiki With Hyperspectral Remote Sensing Missionmentioning

confidence: 99%

Breadboard Model of On-orbit Calibration Equipment for Small Hyperspectral Sensor

Aoyanagi

Satori

Takeuchi³

2010

AEROSPACE TECHNOLOGY JAPAN

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This paper examined the effect of atmospheric correction on that hyperspectral sensors have wavelength error. Also we examined the effects of classification result on erroneous atmospheric correction. Additionally, this paper proposes new spectral calibration device named OCE (On-orbit Calibration Equipment) which consists of the visible and near infrared LEDs. The calibration accuracy by OCE compared with spectral lines of mercury and xenon has been evaluated. The OCE-BBM to central pixel of spatial direction can be calibrated with sufficient accuracy.

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Section: Taiki With Hyperspectral Remote Sensing Missionmentioning

confidence: 99%

Breadboard Model of On-orbit Calibration Equipment for Small Hyperspectral Sensor

Aoyanagi

Satori

Takeuchi³

2010

AEROSPACE TECHNOLOGY JAPAN

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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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Onboard spectral calibration for the Japanese hyper-spectral sensor

Takagi¹,

Ohgi²,

Harada³

et al. 2010

SPIE Proceedings

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Development of Spaceborne Small Hyperspectral sensor HSC-III for Micro Satellite

Cited by 4 publications

References 1 publication

Breadboard Model of On-orbit Calibration Equipment for Small Hyperspectral Sensor

Breadboard Model of On-orbit Calibration Equipment for Small Hyperspectral Sensor

Investigation into lossless hyperspectral image compression for satellite remote sensing

Onboard spectral calibration for the Japanese hyper-spectral sensor

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