推扫式遥感相机超满阱大动态范围成像

孙武; 晋学飞; 吕恒毅; 刘海龙

doi:10.3788/OPE.20182604.0944

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推扫式遥感相机超满阱大动态范围成像

信息科学 | 更新时间：2020-07-05

- 推扫式遥感相机超满阱大动态范围成像
- HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras
- 光学精密工程 2018年26卷第4期页码：944-950
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2.中国科学院大学, 北京 100049
  3.吉林大学中日联谊医院, 吉林长春 130033
- 作者简介：
  
  [ "孙武(1990-), 男, 山东滕州人, 博士研究生, 2013年于哈尔滨工业大学获得学士学位, 主要从事航天遥感成像电子学及图像处理的研究。E-mail:sunwuhit@163.com" ]
- 基金信息：
  
  吉林省自然科学基金资助项目(20150520059JH)
- DOI：10.3788/OPE.20182604.0944
  中图分类号： V447.3;TN386.5
- 收稿日期：2017-08-22，
  
  录用日期：2017-9-12，
  
  纸质出版日期：2018-04-25
- 稿件说明：
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孙武, 晋学飞, 吕恒毅, 等. 推扫式遥感相机超满阱大动态范围成像[J]. 光学精密工程, 2018,26(4):944-950.

Wu SUN, Xue-fei JIN, Heng-yi LÜ, et al. HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras[J]. Optics and precision engineering, 2018, 26(4): 944-950.
孙武, 晋学飞, 吕恒毅, 等. 推扫式遥感相机超满阱大动态范围成像[J]. 光学精密工程, 2018,26(4):944-950. DOI： 10.3788/OPE.20182604.0944.

Wu SUN, Xue-fei JIN, Heng-yi LÜ, et al. HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras[J]. Optics and precision engineering, 2018, 26(4): 944-950. DOI： 10.3788/OPE.20182604.0944.

摘要

为了提高推扫式遥感相机的动态范围，对应用DTDI（Digital domain Time Delay Integration）技术并采用固定积分级数的成像方法以及高动态范围图像的显示方法等进行研究。首先介绍了DTDI技术基本原理，然后利用该技术突破传统模拟域TDI的满阱电荷限制，获得更高深度、更大动态范围的灰度图像数据，进而拓展了推扫式遥感相机的动态范围。最后结合图像熵和图像灰度分布方差构造评价函数，并将其作为判据选择被关注目标高动态范围图像的最优显示窗口，将信息量最大、层次最为丰富的区间自动显示出来。计算和实验结果表明，当固定积分级数为64的时候，推扫式遥感相机的动态范围可以有效地提高36.124 dB；基于评价函数的显示窗口自动选取方法较人工选择能够更加快速、准确地显示最优结果。本文提出的方法能够基本满足推扫式遥感相机领域大动态范围成像及选择显示的需求。

Abstract

In order to increase the dynamic range of push-broom remote sensing cameras

An imaging method which applied the DTDI (Digital domain Time Delay Integration) technology with fixed integral stages and display method of HDR (High Dynamic Range) image was investigated in this paper. Firstly

the principle of DTDI was introduced. Secondly

by adopting the DTDI technology with fixed integral stage

the full well limitation could be overcome. Thus

a picture with higher image bit depth and larger dynamic range could be achieved

and then the dynamic range of the push-broom remote sensing camera got extended. Finally

a new evaluation function based on the entropy and histogram of an image was constructed

and it could be used for automatically selecting the best show window covering the most abundant information and the richest gradation from the original HDR image. The calculation and experimental results indicate that when the fixed integration stage is 64

the dynamic range of the push-broom remote sensing camera increases by 36.124 dB. And the automatic selection by the constructed evaluation function can get the best result more accurately and quickly than the artificial selection. The method proposed in this paper can meet the demands of HDR imaging and display in the field of push-broom remote sensing cameras.

关键词

Keywords

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