航天返回与遥感
航天返迴與遙感
항천반회여요감
SPACECRAFT RECOVERY & REMOTE SENSING
2015年
4期
54-62
,共9页
周楠%齐文雯%曹世翔%何红艳%邢坤%岳春宇
週楠%齊文雯%曹世翔%何紅豔%邢坤%嶽春宇
주남%제문문%조세상%하홍염%형곤%악춘우
图像品质%有限长脉冲响应%图像复原%自适应抑噪%“高分二号”卫星%航天遥感
圖像品質%有限長脈遲響應%圖像複原%自適應抑譟%“高分二號”衛星%航天遙感
도상품질%유한장맥충향응%도상복원%자괄응억조%“고분이호”위성%항천요감
image quality%finite impulse response%restoration%adaptive noise suppression%GF-2 satellite%space remote sensing
由于遥感图像成像过程中受平台运动、传感器成像性能、大气扰动等因素影响,使得图像品质退化。文章提出一种基于空域的自适应调制传递函数补偿法对遥感图像进行复原。该算法根据实验室实测的调制传递函数值,考虑光学系统、探测器与电子元器件等对图像品质的影响,构造有限长脉冲响应计算去卷积核,对图像进行去卷积时根据相机成像所设参数(包括积分级数、增益等)下不同灰度的信噪比信息,兼顾景物内容进行自适应的抑噪处理。该算法已成功应用于“高分二号”(GF-2)卫星图像地面处理中,试验结果表明该算法在有效提高图像清晰度的同时能够保证图像的信噪比,从而改善了图像品质。
由于遙感圖像成像過程中受平檯運動、傳感器成像性能、大氣擾動等因素影響,使得圖像品質退化。文章提齣一種基于空域的自適應調製傳遞函數補償法對遙感圖像進行複原。該算法根據實驗室實測的調製傳遞函數值,攷慮光學繫統、探測器與電子元器件等對圖像品質的影響,構造有限長脈遲響應計算去捲積覈,對圖像進行去捲積時根據相機成像所設參數(包括積分級數、增益等)下不同灰度的信譟比信息,兼顧景物內容進行自適應的抑譟處理。該算法已成功應用于“高分二號”(GF-2)衛星圖像地麵處理中,試驗結果錶明該算法在有效提高圖像清晰度的同時能夠保證圖像的信譟比,從而改善瞭圖像品質。
유우요감도상성상과정중수평태운동、전감기성상성능、대기우동등인소영향,사득도상품질퇴화。문장제출일충기우공역적자괄응조제전체함수보상법대요감도상진행복원。해산법근거실험실실측적조제전체함수치,고필광학계통、탐측기여전자원기건등대도상품질적영향,구조유한장맥충향응계산거권적핵,대도상진행거권적시근거상궤성상소설삼수(포괄적분급수、증익등)하불동회도적신조비신식,겸고경물내용진행자괄응적억조처리。해산법이성공응용우“고분이호”(GF-2)위성도상지면처리중,시험결과표명해산법재유효제고도상청석도적동시능구보증도상적신조비,종이개선료도상품질。
Because of the effects of platform, sensor, the atmosphere etc, remote sensing images are degraded. This paper proposes an adaptive modulation transfer function compensation (MTFC) restoration algorithm of remote sensing images based on spatial domain. The method is based on the modulation transfer function values laboratory-measured, which considers the impact of optical system, detector and electronic components, and construct finite impulse response to calculate deconvolution nuclear. According to the signal to noise ratio (SNR) of different gray values given by the sensor parameters (including integral series, gain, etc), we handle image deconvolution, which combining scene content for adaptive noise suppression processing. The algorithm has been successfully used in GF-2 data ground processing, The test results show that the method can improve both the image clarity and the SNR to increase the image quality.