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| 1 | 传感器交叉辐射定标综述显示文摘当前遥感应用逐渐从定性向定量化发展的趋势对辐射定标的可靠性提出了更高的要求。传统的场地替代定标法虽然定标精度较高,但是其对场地及测量过程有很严格的要求,能够提供的数据非常有限。交叉定标是国际上新近发展起来的一种无场地定标技术,它的应用弥补了场地定标的不足。对光线匹配交叉定标、光谱匹配交叉定标、基于辐射传输模型交叉定标以及基于瑞利散射交叉定标4种交叉定标方法原理进行了详细介绍,并针对每种方法分析了其适用性。 | 高彩霞 姜小光 马灵玲 霍红元 | 2013 | 干旱区地理2013，36，1： | 12 |
| 2 | HJ-1A HSI on-orbit radiometric calibration and validation research显示文摘The calibration experiment data at Dunhuang radiometric calibration site in October, 2008 were used to achieve the on-orbit radiometric calibration for HJ-1A hyper spectral imager (HSI). Two other field experiments data were used to validate the Dunhuang calibration results. One field experiment took place in Inner-Mongolia, China in September, 2008, and the other field experiment took place in Lake Frome, Australia in February, 2009. Finally, the ‘confidence interval of calibration error’ concept was put forward for quantitatively computing the calibration coefficient error confidence interval. The results showed that the Dunhuang calibration results in 2008 had high reliability. The confidence intervals of calibration error for all HSI channels were between 2% to 12%, which could satisfy the requirement of the HSI quantitative applications. | GAO HaiLiang1,2,3*, GU XingFa1,3*, YU Tao1,3, GONG Hui1,2,3, LI JiaGuo1,2,3 & LI XiaoYing1,3 1 State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100039, China 3 Center for National Spaceborne Demonstration, Beijing 100101, China | 2010 | Science China(Technological Sciences)2010，53，11： | 10 |
| 3 | CCD卫星相机时间序列定标:以CBERS02B为例显示文摘采用沙漠场景法、稳定目标法和交叉定标法对CBERS02B星的CCD相机开展时间序列定标,分别得到CCD相机2007—2008年期间三种方法对应的定标系数,并同CBERS02B卫星官方提供的定标系数进行比对。结果表明,三种方法得到的定标系数其误差均小于10%,不同方法的结果具有较好的一致性。最后,分析总结各种时间序列定标方法的优缺点,为今后开展类似卫星的时间序列定标提供参考。 | 高海亮 顾行发 余涛 李小英 巩慧 李家国 | 2011 | 测绘学报2011，40，2： | 8 |
| 4 | CBERS-04卫星宽视场成像仪在轨场地辐射定标显示文摘CBERS-04卫星宽视场成像仪(WFI)自发射以来,广泛应用于国土、水利、林业资源调查等方面。考虑到卫星遥感器受发射时的振动、在轨空间环境变化以及元器件电路系统老化等因素的影响,各种辐射特性的变化,遥感器的性能和灵敏度不断下降,从而导致整个遥感器辐射性能与原来的标定结果之间存在一定的偏差。2015年8月,通过在敦煌辐射校正场开展辐射定标同步观测试验获取了星地同步观测数据,根据反射率基法计算得到CBERS-04卫星WFI相机的场地定标系数。试验共获取了5次有效数据,根据2015年8月7日,10日,13日的定标试验数据拟合得到WFI的定标系数。同时,根据16日和19日两天的试验数据拟合得到一组新的定标系数作为准真值开展定标系数的验证。结果表明,WFI敦煌辐射定标结果的偏差小于4%。另外,在考虑WFI传感器光谱特性、辐射和空间分辨率、成像条件等差异的基础上,以具有较高辐射定标精度的Landsat-8 OLI作为参考传感器进行定标方法的相对验证,结果显示WFI与OLI的相对定标结果的不确定度在6%左右。 | 刘李 傅俏燕 潘志强 徐建艳 李晓进 韩启金 张学文 刘涛 | 2016 | 航天返回与遥感2016，37，1： | 6 |
| 5 | 基于光谱与几何匹配的GOCI与MODIS交叉辐射定标显示文摘海洋卫星COMs-1((Communication,Ocean&Meteorological Satellite-1)上携带的GOCI(Geostationary Ocean Color Imager)传感器以海洋监测为主,也具备较好的陆地监测潜力,但传感器陆地辐射特性存在偏差。为改善GOCI陆地辐射特性,基于MODIS数据,对GOCI可见光和近红外波段开展交叉辐射定标,弥补场地定标成本较高、定标参数更新周期长的不足,拓展其陆地定量遥感监测能力.交叉辐射定标中,考虑了GOCI和MODIS传感器相应波段光谱响应函数之间的匹配;通过辐射传输模拟,订正两传感器观测角度对辐射定标的影响;通过选取两传感器同一过境时刻的数据,降低太阳角度对辐射定标的影响,提高交叉定标精度.通过MODIS数据模拟的GOCI相应波段的表观辐亮度与GOCI实测结果比对,R^2大于0.88。对定标结果进行初步验证,表明交叉辐射定标后,GOCI陆地上的辐射特性满足基本的定量遥感需求。 | 张玉环 毛慧琴 王中挺 郭伟 厉青 李正强 陈兴峰 陈辉 | 2016 | 大气与环境光学学报2016，11，6： | 5 |
| 6 | 基于灰阶靶标的室外相对辐射定标方法显示文摘遥感传感器的辐射定标是遥感信息定量化的基础和前提条件.本文提出了一种基于灰阶靶标的遥感传感器室外相对辐射定标方法.该方法采用'两个替代'的思想,利用太阳光代替积分球光源,利用灰阶靶标代替漫反射板,在室外获取多个辐亮度等级的图像,利用最小二乘法拟合得到相对辐射定标系数.本方法的特点在于:第一,与实验室定标方法相比,大大简化了定标方法的复杂性和降低实验成本;第二,与以往的单一辐亮度室外定标方法相比,多个辐亮度等级的实验图像大大降低了定标的误差;第三,操作简便,对环境条件要求较低,在航空传感器的飞行前后快速定标中具有独特的优势,实用性强.本文从理论和实验角度证明了该方法的可行性.使用该方法对一种宽视场多光谱相机进行了定标实验,通过评价校正后影像上地面布设的大面积均匀靶标的像素一致性,给出了相对辐射定标精度.实验结果表明,该方法有效可行,精度满足进一步的传感器绝对辐射定标要求. | 段依妮 晏磊 杨彬 景欣 陈伟 | 2013 | 中国科学:技术科学2013，43，8： | 5 |
| 7 | “资源三号”卫星多光谱相机在轨辐射性能变化监测显示文摘为更好的开展遥感数据定量化应用并分析监测载荷在轨期间的性能变化,文章根据'资源三号'(ZY-3)卫星发射以来的在轨场地观测数据,基于场地定标的反射率基法,计算多光谱(MUX)相机2012~2016年的场地定标系数,并提出利用离散系数评价MUX相机辐射性能变化的方法;对ZY-3卫星MUX相机在中国辐射校正场获取的共10次同步试验数据进行了分析,结果显示自2012年发射以来MUX相机辐射特性的衰变在5%左右。 | 刘李 张学文 韩启金 潘志强 曾燕 | 2017 | 航天返回与遥感2017，38，4： | 5 |
| 8 | 基于深度学习的在轨辐射定标方法研究显示文摘辐射定标是将卫星传感器的计数值转化为具有物理意义的数值的关键环节。传统的在轨定标方法都是基于一天的数据,定标精度受限于当天的地面测量数据和天气情况。文章提出了一种基于深度学习的在轨定标新方法,其思想是利用定标场地的大量历史卫星影像、历史大气数据和历史光谱数据,通过对这些数据的学习和筛选,构建和真实场景最接近的定标场地模型。利用这一定标场地模型,模拟出待定标卫星成像时刻对应观测几何下的表观反射率,实现传感器的绝对辐射定标。为验证新方法的有效性,分别利用场地定标法、交叉定标法和深度学习定标法对'高分一号'卫星PMS2相机进行在轨辐射定标。结果表明,深度学习定标法的定标精度和场地定标法接近,优于交叉定标方法,且具备交叉定标方法的成本低、频率高、可实现历史数据再定标等优点,是一种比较理想的在轨定标新方法。 | 刘李 高海亮 潘志强 傅俏燕 顾行发 | 2017 | 航天返回与遥感2017，38，2： | 4 |
| 9 | 基于影像交叉学习的CBERS CCD波段模拟显示文摘与TM/ETM+相比,CBERS CCD缺少2个红外波段(波段5和波段7),这便导致了许多针对TM/ETM+数据的图像处理方法难以直接应用于CBERS CCD图像。为此,采用基于影像交叉学习的波段模拟方法,即以ETM+数据作为先验知识,通过支持向量回归(Support Vector Regression,SVR),拟合CBERS CCD与ETM+7波段DN值之间的非线性关系,进而在CBERS CCD已有波段的基础上模拟一个新的波段图像。实验结果表明,采用该方法模拟的CBERS CCD新波段与验证波段之间具有较高的相关性。 | 俞乐 曹凯 吴飏 张登荣 | 2011 | 国土资源遥感2011，23，3： | 2 |
| 10 | Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement显示文摘The study site is located in Qianyanzhou experimental station and the surrounding area. Based on CBERS-02 satellite data and field measurement, we not only discussed the relationship between NDVI and biomass of two species of coniferous plantations, namely, Pinus massoniana Lamb and Pinus elliottii Engelm, but also introduced the biomass models based on NDVI. The comparison between measured biomass in Qianyanzhou and biomass derived from CBERS-02 CCD data showed that it is feasible to estimate biomass based on NDVI. But its limitations cannot be ignored. This kind of model depends on the dominant vegetation species. There are some effect factors in estimating biomass based on NDVI. This paper analyzes these factors based on fine-resolution CBERS-02 CCD data and some conclusions are drawn: In Qianyanzhou, the area with good vegetation coverage, the nonlinearity of NDVI has little influence on scaling-up of NDVI. As a result of surface heterogeneity, scaling-up can cause NDVI within each pixel to change. Because scaling-up can cause pixel attribute to change, the applicability of biomass model is one of the sources of error in estimating biomass. | CHEN Liangfu1,2, GAO Yanhua1,3, CHENG Yu1,3, WEI Zheng1,3, XIAO Qing1,4, LIU Qinhuo1, YU Tao1, LIU Qijing5, GU Xingfa1 & TIAN Guoliang1 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. Geography and Environment College, Jiangxi Normal University, Nanchang 330027, China 3. Graduate University of Chinese Academy of Sciences, Beijing 100039, China 4. Beijing Research Institute of Uranium Geology, Beijing 100875, China 5. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China | 2005 | Science China(Technological Sciences)2005，48，S2： | 2 |
| 11 | Outdoor relative radiometric calibration method using gray scale targets显示文摘The radiometric calibration of remote sensors is a basis and prerequisite of information quantification in remote sensing. This paper proposes a method for outdoor relative radiometric calibration using gray scale targets. In this method, the idea of two substitutions is adopted. Sunlight is used to replace the integrating sphere light source, and gray scale targets are used to re-place the diffuser. In this way, images at different radiance levels obtained outdoors can calculate the relative radiometric cali-bration coefficients using the least square method. The characteristics of this method are as follows. Firstly, compared with la-boratory calibration, it greatly reduces the complexity of the calibration method and the test cost. Secondly, compared with the existing outdoor relative radiometric calibration of a single radiance level, it uses test images of different radiance levels to re-duce errors. Thirdly, it is easy to operate with fewer environmental requirements, has obvious advantages in the rapid calibra-tion of airborne remote sensors before or after flight and is practical in engineering. This paper theoretically and experimental-ly proves the feasibility of this method. Calibration experiments were conducted on the wide-view multispectral imager (WVMI) using this method, and the precision of this method was evaluated by analyzing the corrected images of large uniform targets on ground. The experiment results have demonstrated that the new method is effective and its precision meets the re-quirement of the absolute radiometric calibration. | DUAN YiNi YAN Lei YANG Bin JING Xin CHEN Wei | 2013 | Science China(Technological Sciences)2013，56，7： | 2 |
| 12 | Comparison of the influence factors on NDVI for CCD camera and WFI imager on CBERS-02显示文摘CCD and WFI are payloads in the visible light and near infrared bands on CBERS satellites and they have not been applied widely, especially WFI. This article mainly probes into the potential of these two sensors’ application in the vegetation monitoring and analyses the influences of radiometric calibration, atmosphere conditions and sun-observing geometry, etc. on NDVI obtained from these two sensors respectively. In addition it analyses the effect of the spectral response difference of red and near infrared spectral bands in CCD and WFI sensors on NDVI. Results indicate that radiometric calibration is the most important factor on NDVI, which cannot be applied to vegetation monitoring without radiometric calibration. Results also demonstrate that near surface NDVI is different greatly from that of TOA which change with atmosphere conditions. The study shows that NDVI is also affected by the non-lambertian character of surface and the change of the atmospheric path with the observing geometry. And NDVI of WFI is higher than that of CCD. They are very different because of their spectral difference, but they have a good linear relevant relationship. | YU Tao1,3, LI Xiaoying1,2,3, ZHANG Yong1,2,3, ZHAO Feng1,2,3, GU Xingfa1,3,4, ZHU Li1,2,3, WANG Pengxin5 & MIN Xiangjun6 1. State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Application, CAS, Bei- jing 100101, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100039, China 3. The Center for National Spaceborne Demonstration, Beijing 100101, China 4. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 5. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 6. China Center for Resource Satellite Data and Application, Beijing 100830, China | 2005 | Science China(Technological Sciences)2005，48，S2： | 1 |
| 13 | 红外相机实时绝对辐射定标技术研究显示文摘辐射定标技术是实现定量遥感的关键环节。近年来,随着红外遥测技术愈发成熟,星上红外辐射定标已成为空间定量遥感技术的重要发展方向。文中从红外相机实时绝对辐射定标的背景出发,提出了半光路星上绝对辐射定标和基于多温度场的场地绝对辐射定标方法,结合实验数据,分别采用星上定标、场地定标、交叉定标三种方案进行在轨绝对辐射定标实验验证,并对其适用场景进行了分析。结果表明,通过结合半、全光路定标数据处理和转换技术,利用水面场和陆面场的场地绝对辐射定标方法,优选合适的定标场地,同时在陆面场中增加典型地物场景实现多温度场定标的方法,所提出的辐射定标方法实现了实时高精度绝对辐射定标,定标精度优于1.5 K。 | 吕原 丛明煜 赵旖旎 牛凯庆 路子威 | 2022 | 红外与激光工程2022，51，7： | 1 |
| 14 | The quantification of remote sensing显示文摘The paper firstly defined the remote sensing information quantification, analyzed the necessity of developing remote sensing quantification, figured out the application guidelines requirement, and pointed out the importance of quantification research. Then taking the remote sensing application research of CBERS-02 data quantification as the example, the paper described the whole quantification system of “remotely sensed digital signal-radiation information-field parameter inversion”. Finally the paper gave the prospect for the development trend of the quantitative remote sensing. | GU Xingfa1,2,3,TIAN Guoliang1,2, LI Xiaowen1,2 & GUO Jianning4 1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China 2. The Center for National Spaceborne Demonstration, Beijing 100101, China 3. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 4. China Center for Resource Satellite Data and Application, Beijing 100830, China | 2005 | Science China(Technological Sciences)2005，48，S2： | 0 |
| 15 | 基于BRDF模型的FY_3D MERSI-Ⅱ场地定标与验证显示文摘FY_3D卫星中分辨率成像仪(MERSI-Ⅱ型)自发射以来,主要应用在气象观测、环境监测、防灾减灾等方面。FY_3D卫星过境时的观测角度会影响定标精度,基于此,提出一种基于双向反射分布函数(BRDF)模型的场地定标方法。2022年7月在敦煌校正场开展星地同步测量实验,并利用2020年7组不同时刻的无人机多角度观测数据基于6种核函数组合方式建立42种BRDF模型。针对不同观测角度下的FY_3D影像,对构建的BRDF模型进行适用性分析。并计算基于BRDF模型传感器各波段的表观反射率与卫星实测的表观反射率相对偏差。结果显示:敦煌场地BRDF模型校正地表反射率时会受卫星观测角度影响,不同模型校正地表反射率之间的差异,受时间及太阳角度的影响不超过1%,受不同核函数组合方式的影响不超过3%。FY_3D MERSI-Ⅱ型2021年B1~B12波段模型计算的与卫星观测的表观反射率平均相对偏差均小于5.22%,2022年B1、B2波段模型计算的与卫星观测的表观反射率平均相对偏差超过8%,其余波段均小于5.74%。 | 衡岩冰 潘军 高海亮 王凯司 豆新格 | 2023 | 激光与光电子学进展2023，60，22： | 0 |
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