&lt;title&gt;Imaging spaceborne and airborne sensor systems in the beginning of the next century&lt;/title&gt;

Nieke, Jens; Schwarzer, Horst; Neumann, Andreas; Zimmermann, G.

doi:10.1117/12.298124

Cited by 31 publications

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“…Other CCD selection criterion is its heritage in previous satellites. Fairchild, Atmel, Kodak manufacturers group CCDs are used in imaging satellites (Nieke et al 1997). For example, ROCSAT satellite has used TH7834 detector from Atmel's family.…”

Section: Ccd Detectormentioning

confidence: 99%

Designing and implementation of pushbroom imaging payloads for a remote sensing satellite

Abbasi‐Moghadam

Abolghasemi

2015

Opt Quant Electron

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The present paper explains the design of imaging payload of remote sensing LEO satellites. The spectral band of this imager is visible band. Imaging payload includes panchromatic and multi-spectral camera that use linear imaging technique. Pushbroom imaging technique use the forward motion of a satellite to sweep a linear array of detectors oriented perpendicular to the ground track across a scene being imaged. Because of superior image quality and flexibility, CCD sensor are used in imaging payload. After amplifying CCD output signal, a high frequency A/D is used to sample the amplified signal. The imaging payload contains a powerful processor in order to do compression process, coding, encryption, and the framing. Then the radio frames are sent by transmitter to the ground station or stored on an on-board memory in remote sensing mode.

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Section: Ccd Detectormentioning

confidence: 99%

Designing and implementation of pushbroom imaging payloads for a remote sensing satellite

Abbasi‐Moghadam

Abolghasemi

2015

Opt Quant Electron

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“…A pushbroom hyperspectal imager is usually composed of an objective aperture, an entrance slit, a collimator, a dispersing element and a rectangular detector array with pixels arranged in rows (parallel to a spatial axis defined by a straight slit) and columns (parallel to the spectral axis) [1] . The wavelength separation is usually accomplished with a prism or diffraction grating.…”

Section: The Pushbroom Dispersive Hyperspectral Imagermentioning

confidence: 99%

Research on method of geometry and spectral calibration of pushbroom dispersive hyperspectral imager

Shu

Wang

2012

SPIE Proceedings

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Development and application of airborne and aerospace hyperspectral imager press for high precision geometry and spectral calibration of pixels of image cube. The research of geometry and spectral calibration of pushbroom hyperspectral imager, its target is giving the coordinate of angle field of view and center wavelength of each detect unit in focal plane detector of hyperspectral imager, and achieves the high precision, full field of view, full channel geometry and spectral calibration. It is importance for imaging quantitative and deep application of hyperspectal imager. The paper takes the geometry and spectral calibration of pushbroom dispersive hyperspectral imager as case study, and research on the constitution and analysis of imaging mathematical model. Aimed especially at grating-dispersive hyperspectral imaging, the specialty of the imaging mode and dispersive method has been concretely analyzed. Based on the analysis, the theory and feasible method of geometry and spectral calibration of dispersive hyperspectral imager is set up. The key technique has been solved is As follows: 1). the imaging mathematical model and feasible method of geometry and spectral calibration for full pixels of image cube has been set up, the feasibility of the calibration method has been analyzed. 2). the engineering model and method of the geometry and spectral calibration of pushbroom dispersive hyperspectral imager has been set up and the calibration equipment has been constructed, and the calibration precision has been analyzed.

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“…9 An expression for this aberration, in the case of a prism is given in Eq. (1), while that for a plane grating is given in Eq. …”

Section: Physical Reasons For Spatial Misregistrationmentioning

confidence: 99%

“…Spatial misregistration (SM) is an artifact that mainly affects pushbroom systems, 1 where contiguous ground pixels are recorded at the same time by an array-based detector, e.g., a CCD, in comparison to whiskbroom scanners, 1 which scan one ground pixel at a time, recording its spectral components. The study of this artifact is relevant to understand the quality degradation of the acquired data.…”

Section: Introductionmentioning

confidence: 99%

Scene-based method for spatial misregistration detection in hyperspectral imagery

et al. 2007

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Hyperspectral imaging (HSI) sensors suffer from spatial misregistration, an artifact that prevents the accurate acquisition of the spectra. Physical considerations let us assume that the influence of the spatial misregistration on the acquired data depends both on the wavelength and on the acrosstrack position. A scene-based method, based on edge detection, is therefore proposed. Such a procedure measures the variation on the spatial location of an edge between its various monochromatic projections, giving an estimation for spatial misregistration, and also allowing identification of misalignments. The method has been applied to several hyperspectral sensors, either prism, or grating-based designs. The results confirm the dependence assumptions on and Θ, spectral wavelength and across-track pixel, respectively. Suggestions are also given to correct for spatial misregistration. Scene-based method for spatial misregistration detection in hyperspectral imageryFrancesco Dell'Endice, Jens Nieke, Daniel Schläpfer, and Klaus I. IttenHyperspectral imaging (HSI) sensors suffer from spatial misregistration, an artifact that prevents the accurate acquisition of the spectra. Physical considerations let us assume that the influence of the spatial misregistration on the acquired data depends both on the wavelength and on the across-track position. A scene-based method, based on edge detection, is therefore proposed. Such a procedure measures the variation on the spatial location of an edge between its various monochromatic projections, giving an estimation for spatial misregistration, and also allowing identification of misalignments. The method has been applied to several hyperspectral sensors, either prism, or grating-based designs. The results confirm the dependence assumptions on and , spectral wavelength and across-track pixel, respectively. Suggestions are also given to correct for spatial misregistration.

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<title>Imaging spaceborne and airborne sensor systems in the beginning of the next century</title>

Cited by 31 publications

References 0 publications

Designing and implementation of pushbroom imaging payloads for a remote sensing satellite

Designing and implementation of pushbroom imaging payloads for a remote sensing satellite

Research on method of geometry and spectral calibration of pushbroom dispersive hyperspectral imager

Scene-based method for spatial misregistration detection in hyperspectral imagery

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