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	Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction 期刊论文 OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 3 作者: Wang, Zhuo; Li, Haiwei; Wang, Shuang; Song, Liyao; Chen, Junyu \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2024/03/15 UAV push-broom hyperspectral BRDF model improvement data coupling illumination correction factor
	Push-broom compressive hyperspectral imaging method based on self-fusion refinement 期刊论文 OAI收割 OPTICS COMMUNICATIONS, 2023, 卷号: 530 作者: Zhu, Mengjun; Yi, Wenjun; Du, Junyi; Zhu, Shuyue; Qi, Junli \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2023/02/13 Push-broom compressive hyperspectral imaging Self-fusion refinement Modified joint bilateral filtering
	Study on the influence of spectral overflow and its correction method of push broom static hadamard transform spectral imager 会议论文 OAI收割 Virtual, Online, China, 2022-12-18 作者: Zhou, Yingshu; Gao, Xiaohui; Liu, Jie; Liu, Xuebin \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2023/03/13 spectral imaging hadamard encoding hadamard transform push broom spectral overflow error correction spectral image restoration simulation
	An HDR imaging method with DTDI technology for push-broom cameras 期刊论文 OAI收割 Photonic Sensors, 2018, 卷号: 8, 期号: 1, 页码: 34-42 作者: Sun, W.; Han, C. S.; Xue, X. C.; Lv, H. Y.; Shi, J. X. \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2019/09/17 Push-broom cameras HDR imaging remote sensing dynamic-range performance Instruments & Instrumentation Optics
	Realization of the imaging-auto-focus on the APRC using splicing- CCD (EI CONFERENCE) 会议论文 OAI收割 International Conference on Graphic and Image Processing, ICGIP 2011, October 1, 2011 - October 2, 2011, Cairo, Egypt Lu Z.; Guo Y.; Xue X.; Ma T.; Lv H. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 It is difficult to deal with the auto-focus of aerial push-broom remote sensing camera (APRC) based on image processing. First of all this paper recommended the Splicing structure of CCD in the APRC Based on this auto-focus method which is made use of the overlapping area of CCD mosaic structure was proposed combined with the characteristic of the imaging mode. After analyzing of experiments about all kinds of focus-examine functions based on image processing the gradient square function has been chosen. The experimental results show that the proposed auto-focus method for the APRC is proved to be feasible and real-time. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	Study on dynamic imaging on TDI CCD optical remote sensor of push-broom technology (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China 作者: 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 A set special detecting system is proposed based on TDICCD push-broom technology applying in dynamic imaging detecting experiment of space optics remote sensor. In the system In the course of detecting push-broom movement of the satellite is simulated through using double supporting U structure precision rotary platform with remote sensor by angular speed 0.555/s regard Nyquist frequency target as detecting aim within the range of 5 and control precision on steady speed achieves 0.3% in order to solve matching uncertainty between the CCD pixel and the vertical target strip image when the remote sensor does push-broom make matching simplify enhance the measurement result the accuracy. So the tolerance a/n arithmetic progression gap target strip is joined in each group of rectangular vertical group target strip. The remote sensor obtains in vertical the level and 45 the direction 0 fields of view 0.86 the field of view Nyquist frequency target strip image after detected a group target strip which can precision matching to TDICCD pixel at least can be obtained through analysis and dealing with 0.86 field of view's target strip image. The experiment not only verifies the detecting system's feasibility but simultaneously verifies whether to have the high quality dynamic imaging quality when TDICCD push-broom technology is adopted on the remote sensor developed. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China Li X.; Yan C. 收藏 \| 浏览/下载：85/0 \| 提交时间：2013/03/25 Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels radiometric and spectral calibration were presented. After processing the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE. including decoding to extract science data separating the science data into files corresponding to different tasks (e.g. ground imaging dark imaging and onboard calibration) checking data integrity and instrument settings data format conversion and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly it corrects the image artifacts (mostly the SWIR smear effect) subtracts the dark background and performs the bad pixel replacement according to the prelaunch measurement
	Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China 作者: Wang X.; Xu S.-Y.; Wang X.; Wang X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode the premise doesn't exist because the scenes shot are different at any moment which brings about difficulties to the selection of the focus measure. To evaluate the image definition the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.