Research on the nonuniformity correction of linear TDI CCD remote camera

Liu, Yaxia; Zhou, Hao

doi:10.1117/12.576263

Cited by 7 publications

(8 citation statements)

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“…The results of calibration, by fitting the response of the degrees curve get as shown in Figure 6, Figure 7 and Figure 8 below. As can be seen from the Figure 4 quadrant of the response linear degrees are all very good, linear fitting credibility reached 0.9993 (Liu Y. X., et al, 2003;Wang J., et al, 2005), it shows that the area CCD driver circuit to work normally. Among them, for the image y-coordinate of grey value, because the acquisition of the digital image said for eight, so the image gray level to 0255, radiation intensity of illumination for the abscissa denotes (W/m 2 ).…”

Section: The Experimental Resultsmentioning

confidence: 80%

Used in Image Acquisition Area CCD Driving Circuit Design

Liu¹,

Li²

2012

MAS

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To satisfy the demands such as high integrated degree and the handling of real time of the area CCD image collection system, according to the structural characteristic of area CCD, this paper has designed a kind of high integrated degree drive circuit. Through analyzing the internal structure and the characteristic of driving signals of area CCD, the driving circuit of area CCD have gone on suit and simplify, at the same time, FPGA that adopts the company of Xilinx is key controller , have put forward a kind of the image collection system that suits area CCD. Finally, respond degree of area CCD has been tested. Experiment result shows, respond degree of area CCD is linear. The design has realized hardware eventually, is integrated as designing, have raised development efficiency.

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Section: The Experimental Resultsmentioning

confidence: 80%

Used in Image Acquisition Area CCD Driving Circuit Design

Liu¹,

Li²

2012

MAS

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“…Under the premise of a fixed integral stage and line frequency, the conventional correction method is carried out first for comparison, that is, a sequence of images under different irradiances is acquired by the calibration experiment, and then the correction coefficients are calculated directly by multi-point linear fitting based on the acquired images, and, finally, these coefficients are stored in the non-volatile memory on-board to complete the real-time correction according to Equation (9). Then the two-step non-uniformity correction method proposed is carried out, that is, a sequence of images under different irradiances is acquired first, and then the adjusted offset and the PGA gain for each channel are calculated according to Equation (8), which will be updated to the video processor to complete the first step correction.…”

Section: Results Of Non-uniformity Correction With Two Stepsmentioning

confidence: 99%

“…However, periodic calibration is required with the aid of the calibration environment in the laboratory or the calibration light source in orbit to cope with the performance changes caused by the system ageing. Such methods include single-point correction, two-point correction, multi-point linear fitting correction, which are for linear response [7][8][9][10][11][12][13][14], and piecewise linear fitting correction, polynomial fitting correction, which are for nonlinear response [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Compensation for the non‐uniformity correction of multi‐channel TDI CCD under variable gain

Wang

2021

IET Optoelectronics

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The compensation for non‐uniformity correction of multi‐channel time delay integration charge coupled device (TDI CCD) under variable gain is presented. The mathematical model of photoelectric conversion is established first, and, then, a two‐step non‐uniformity correction method for multi‐channel TDI CCD is proposed. Based on this method, a compensation algorithm for non‐uniformity correction under variable gain is elaborated in detail. The experimental results show that the proposed algorithm can always maintain the photo response non‐uniformity (PRNU) of the corrected images better than 1.14% when the programmable gain amplification (PGA) gain varies within the range of 1–3, compared to the conventional method of degrading to 2.91%. Meanwhile, a compression method for correction coefficients under multiple integral stages is proposed, which can reduce the storage space requirement by 50% at the cost of the PRNU being degraded by a maximum of 0.19% at all integral stages.

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“…Stripes have different scale characteristics depending on their sources. For a single channel (tap), the sources of the stripes include photo shot noise, reset noise, dark current, fixed pattern noise, and quantization noise [18,19]. The stripes in the channel appear as thin lines in the image and appear as small-scale impulse noise on the corresponding CMV.…”

Section: Scale Characteristics Of Stripesmentioning

confidence: 99%

Removal of Large-Scale Stripes Via Unidirectional Multiscale Decomposition

Chang

et al. 2019

Remote Sensing

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Stripes are common in remote sensing imaging systems equipped with multichannel time delay integration charge-coupled devices (TDI CCDs) and have different scale characteristics depending on their causes. Large-scale stripes appearing between channels are difficult to process by most current methods. The framework of column-by-column nonuniformity correction (CCNUC) is introduced to eliminate large-scale stripes. However, the worst problem of CCNUC is the unavoidable cumulative error, which will cause an overall color cast. To eliminate large-scale stripes and suppress the cumulative error, we proposed a destriping method via unidirectional multiscale decomposition (DUMD). The striped image was decomposed by constructing a unidirectional pyramid and making difference maps layer by layer. The highest layer of the pyramid was processed by CCNUC to eliminate large-scale stripes, and multiple cumulative error suppression measures were performed to reduce overall color cast. The difference maps of the pyramid were processed by a designed filter to eliminate small-scale stripes. Experiments showed that DUMD had good destriping performance and was robust with respect to different terrains.

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Research on the nonuniformity correction of linear TDI CCD remote camera

Cited by 7 publications

References 0 publications

Used in Image Acquisition Area CCD Driving Circuit Design

Used in Image Acquisition Area CCD Driving Circuit Design

Compensation for the non‐uniformity correction of multi‐channel TDI CCD under variable gain

Removal of Large-Scale Stripes Via Unidirectional Multiscale Decomposition

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