Geometric calibration of high-resolution remote sensing sensors

This paper introduces the applications of high-resolution remote sensing imagery and the necessity of geometric calibration for remote sensing sensors considering assurance of the geometric accuracy of remote sensing imagery. Then the paper analyzes the general methodology of geometric calibration. Taking the DMC sensor geometric calibration as an example, the paper discusses the whole calibration procedure. Finally, it gave some concluding remarks on geometric calibration of high-resolution remote sensing sensors.

Calibrating Remotely Sensed Ocean Chlorophyll Data: An Application of the Blending Technique in Three Dimensions (3D)

In this article, the extension to three dimensions (3D) of the blending technique that has been widely used in two dimensions (2D) to calibrate ocean chlorophyll is presented. The results thus obtained revealed a very high degree of efficiency when predicting observed values of ocean chlorophyll. The mean squared difference between the predicted and observed values of ocean chlorophyll when 3D technique was used fell far below the tolerance level which was set to the difference between satellite and observed in-situ values. The resulting blended field did not only provide better predictions of the in situ observations in areas where bottle samples cannot be obtained but also provided a smooth variation of the distribution of ocean chlorophyll throughout the year. An added advantage is its computational efficiency since data that would have been treated at least four times would be treated only once. With the advent of these results, it is believed that the modelling of the ocean life cycle will become more realistic.

An Overview of MODIS Radiometric Calibration and Characterization

The Moderate Resolution Imaging Spectroradiometer （MODIS） is one of the key instruments for NASA＇s Earth Observing System （EOS）, currently operating on both the Terra and Aqua satellites. The MODIS is a major advance over the previous generation of sensors in terms of its spectral, spatial, and temporal resolutions. It has 36 spectral bands： 20 reflective solar bands （RSB） with center wavelengths from 0.41 to 2.1 μm and 16 thermal emissive bands （TEB） with center wavelengths from 3.7 to 14.4 μm, making observations at three spatial resolutions： 250 m （bands 1-2）, 500 m （bands 3-7）, and lkm （bands 8-36）. MODIS is a cross-track scanning radiometer with a wide field-of-view, providing a complete global coverage of the Earth in less than 2 days. Both Terra and Aqua MODIS went through extensive pre-launch calibration and characterization at various levels. In orbit, the calibration and characterization tasks are performed using its on-board calibrators （OBCs） that include a solar diffuser （SD） and a solar diffuser stability monitor （SDSM）, a v-grooved flat panel blackbody （BB）, and a spectro-radiometric calibration assembly （SRCA）. In this paper, we present an overview of MODIS calibration and characterization activities, methodologies, and lessons learned from pre-launch characterization and in-orbit operation. Key issues discussed in this paper include in-orbit efforts of monitoring the noise characteristics of the detectors, tracking the solar diffuser and optics degradations, and updating the sensor＇s response versus scan angle. The experiences and lessons learned through MODIS have played and will continue to play major roles in the design and characterization of future sensors.

A commentary review on the use of normalized diff erence vegetation index(NDVI)in the era of popular remote sensing

The Normalized Diff erence Vegetation Index(NDVI),one of the earliest remote sensing analytical products used to simplify the complexities of multi-spectral imagery,is now the most popular index used for vegetation assessment.This popularity and widespread use relate to how an NDVI can be calculated with any multispectral sensor with a visible and a near-IR band.Increasingly low costs and weights of multispectral sensors mean they can be mounted on satellite,aerial,and increasingly—Unmanned Aerial Systems(UAS).While studies have found that the NDVI is effective for expressing vegetation status andquantified vegetation attributes,its widespread use and popularity,especially in UAS applications,carry inherent risks of misuse with end users who received little to no remote sensing education.This article summarizes the progress of NDVI acquisition,highlights the areas of NDVI application,and addresses the critical problems and considerations in using NDVI.Detailed discussion mainly covers three aspects:atmospheric eff ect,saturation phenomenon,and sensor factors.The use of NDVI can be highly eff ective as long as its limitations and capabilities are understood.This consideration is particularly important to the UAS user community.

Research of optimizing the microwave wide band blackbody calibration target

The blackbody calibration targets applied for microwave radiometer＇s prelaunch calibration are optimized with its electromagnetic and thermal characteristics. Based on the method of emissivity optimization with radar cross section （RCS） simulation and the method of subgrid finite difference time domain （FDTD）, the following design rules are summarized： that the round wedge is better than the square one, the best ratio from height to bottom radius is 4：1, for wide band calibration, the multilayer absorbing material coating is efficient to increase the emissivity, and the gradual thickness absorbing material coating is helpful to guarantee the uniform distribution of surface temperature even as it keeps a higher emissivity. Finally following the above conclusions, a new type of blackbody calibration target with the cellular array is preferred to improve the uniformity of polarization, which will increase the performance of the calibration targets further.

Recent progress on space-borne microwave sounder pre-launch calibration technologies in China

The development processes and the application achievements of space-borne microwave sounder pre-launch calibration technologies in China are introduced briefly. Then, the general project plan for pre-launch calibration, the latest research achievements on the optimization and development of the microwave wide band calibration targets, emissivity measurement technologies and the system level uncertainty analysis of the laboratory, and the thermal/vacuum microwave sounder calibration system for ＂FY-3＂ meteorological satellite are reported, respectively. Finally, the key technological problems of the calibration technologies under researching are analyzed predictively.

A Proposed Calibration Method for Precise Wide Range Scatterometric Measurements

The co-effect of transmitted power fluctuation and system nonlinearity produce deviations in scatterometer measurement results . An internal calibration method to deal with this problem is proposed. The method can result in more precise scatterometric measurements in a wide range. The basic principle of the method is combining real-transmitted-power detection with the calibration of system nonlinearity. A practical scheme to implement the method is also presented, which is developed based on a special designed mechanism of a microwave radiometer-scatterometer combined system.

Some essential questions in remote sensing science and technology

In this paper,I propose a personal view on the general contents of remote sensing science and technology,which includes sensor research and manufacturing,remotely sensed data acquisition,data processing,information extraction and remote sensing applications.Serving as the basis for all these components is radiative transfer process modeling and inversion.Also of importance is the effective visualization of remotely sensed data and their efficient distribution to end users.In all these areas,there are critical research questions.In particular,I consider 4 fundamental areas for improved application of remote sensing.These include the scale and angular issues in remote sensing,removal of topographic effects on the radiance and geometry of remotely sensed imagery and the related question of multisource and multitemporal data registration,integrating knowledge and remotely sensed data into effective information extraction,and four dimensional data assimilation techniques.Strategies of information extraction can be broadly divided into manual visual analysis and computer-based analysis.The computer based information analysis include radiative transfer model inversion,image classification,regression analysis,three dimensional information extraction,shape analysis and change detection.Successful information extraction is the key to the success of remote sensing.There are many important issues that need to be solved including how to make better use of the spatial and temporal data present in remotely sensed data in information extraction.How to effectively combine the strength of both computer analysis and human interpretation? Finally,4D data assimilation is the new direction that allows for the integration of instantaneous observation with process-based climate,hydrological and ecological models.Further work along this direction will enhance the contribution of remote sensing in global change studies.In return,the quality of remotely sensed parameters can be improved.

On-Line Measurement of the Chemical Oxygen Demand in Wastewater in a Pulp and Paper Mill Using Near Infrared Spectroscopy

Although near infrared (NIR) spectroscopy has been evaluated for numerous applications, the number of actual on-line or even on-site industrial applications seems to be very limited. In the present paper, the attempts to produce online predictions of the chemical oxygen demand (COD) in wastewater from a pulp and paper mill using NIR spectroscopy are described. The task was perceived as very challenging, but with a root mean square error of prediction of 149 mg/l, roughly corresponding to 1/10 of the studied concentration interval, this attempt was deemed as successful. This result was obtained by using partial least squares model regression, interpolated reference values for calibration purposes, and by evenly distributing the calibration data in the concentration space. This work may also represent the first industrial application of online COD measurements in wastewater using NIR spectroscopy.

Optimization of Multi-Level Cooperative Remote Sensing Using Carriers Flying on Counter-Phase Trajectories

The criterion for effectiveness of remote sensing system forming the image by the aim: a) further processing;b) detection of temporal changes or differences in spectral bands;accumulation and registration in GIS system is formulated. The optimal point in trajectory, where the maximum effectiveness of system’s operation of maximum information entropy at the system output is calculated. The regime limit value of parameters are calculated, upon surpassing of which the maximal effectiveness of the system may be reached.

Sensor Calibration in Support for NOAA's Satellite Mission

包括它的定义，目的，可描绘选择，方法论，复杂性，和重要性，传感器刻度在 supportingNOAA 的卫星使命的上下文在这篇论文被检验。传感器刻度的普通理解为在传感器供应商，刻度科学家，卫星操作符，程序管理器，和遥感之中的有效通讯是必要的数据用户，谁必须合作保证一个国家在一个复杂运作的环境卫星系统的战略投资服务国家的兴趣并且在全世界提高人的生活。在 NOAA/NESDIS/ORA 的刻度活动的例子被选择进一步说明这些概念并且证明课从过去的经验学习了。

基于幂加权最小二乘拟合的红外相机辐射定标方法

分析了现有线性度计算方法的不足,提出基于偏差/测量值的新线性度评价方式,通过该方式最小二乘拟合的低端温度偏差比高端大一个数量级,并采用加权拟合提高系统响应线性度。在分析不同光谱的温度和辐亮度拟合函数基础上,提出一种基于辐亮度倒数幂加权最小二乘线性拟合的地面和星上辐射定标方法,确认最佳权重幂次,建立了幂次n=1的加权最小二乘拟合外黑体线性定标方程、内黑体线性定标方程、内外黑体辐亮度转换模型。针对星上内黑体高精度两点定标建立了基于加权最小二乘拟合内外黑体辐亮度转换模型;针对星上黑体发射率退化提出了基于恒星定标的红外相机星上内黑体辐亮度定标修正方法,建立了外黑体辐亮度、内黑体辐亮度和恒星辐亮度转换模型。采用加权线性拟合后,积分时间10 ms的低温端外黑体反演偏差由1.63 K下降到0.52 K,内黑体偏差反演温度偏差由0.83 K下降到0.39 K,系统响应线性度明显提升。

电压自校准的高精度多通道应变信号采集模块

针对现有应变采集设备存在采集精度低、测量范围窄、通道数较少、校准繁琐等问题,设计了一种具备电压自校准的高精度多通道应变信号采集模块,模块以高精度模拟调理转换电路为核心,结合电子线路噪声理论仿真与分析,由自校准电路对采集通道进行校准,通过补偿远端传输线的激励电压,实现了48通道大应变信号与差分电压信号的高精度测量。测试结果表明:应变信号测量范围可达±100000με,测量精度优于0.05%FS;电压信号测量范围可达±15 V,测量精度优于±(0.025%RD+500μV),准确度高,具备较好的稳定性和通用性。

DQ-1宽幅成像光谱仪发射前载荷定标技术

大气环境监测卫星作为国家民用空间基础设施规划中的科研卫星,其遥感应用需求对其载荷的定量化精度要求越来越重要。宽幅成像光谱仪作为大气环境监测卫星中的主要载荷,可获取光谱范围从可见光至长波红外(0 415~12 000μm)的陆表和大气多光谱信息。采用45°扫描镜配合消旋系统的扫描方式,光路结构采用同轴望远镜系统,实现3个探测器焦面上21个谱段的同时对地的超宽幅高空间分辨率成像。为了准确地获取能量和仪器响应之间的定量关系,在卫星发射前开展宽幅成像光谱仪全光路、全口径辐射定标试验,分别介绍了可见到短波谱段积分球定标技术和中长波谱段热真空红外定标技术,为用户定量应用提供了良好的保障,并对定标过程中传递路径下的误差来源及精度进行分析评估。

卫星微波高层探测通道定标精度评估

全球/区域数值预报同化系统所需要的重要资料来源之一是卫星微波遥感的亮温数据。微波遥感仪器的高层大气(平流层中上部)探测通道亮温的定标精度,受多种因素影响,存在一定的偏差。由于高层大气高精度探测资料相对比较匮乏,因此对微波遥感的高层大气亮温的精度检验评估成为重要研究内容。本文对在轨运行的微波温度遥感器AMSU-A、ATMS和FY-3D MWTS-2在2020年观测数据进行了定标精度检验评估,综合使用了三种评估方法进行了较为全面的分析,即基于掩星资料、再分析资料的辐射传输模拟比较和同类仪器交叉定标比较。三种检验评估方法从不同角度揭示了各仪器高层大气探测通道观测资料的误差特征,分析了对比误差的可能来源。三种评估方案给出的高层通道亮温的偏差存在差异,但基本结果变化趋势是一致的,即高层通道相比中低层通道,存在较大的噪音。除了交叉定标方法,其它两种方法都检验出了高层资料偏差的季节变化;整体而言,AMSU-A表现要优于MWTS-2和ATMS。本研究评估的高层亮温偏差的时间、空间变化特征可为微波高层大气资料的同化、气候应用提供参考。

面向海浪遥感卫星标定的漂流波浪浮标关键技术研究

在精细化海洋观测领域,遥感卫星海浪方向谱的获取存在精度低、累积误差大等问题,设计了一种基于Transformer神经网络的海浪方向谱估计方法,通过引入稀疏自注意力机制以及物理引导模块等,实现海浪方向谱的高精度表达;海上试验测试结果表明,新提出的海浪方向谱估计方法与传统海浪方向谱估计方法相比,文章提出的模型估计方向谱更符合理论谱形,伪峰较少,平滑性和一致性方面表现较好,并且对数据噪声的容忍度更高。同时,设计了一种基于人工智能芯片的漂流波浪浮标系统,通过AI软硬件系统对不同任务进行动态调度分配,实现浮标低功耗运行,有效提升了波浪测量性能及海上工作时间,是遥感卫星高精度获取大范围、长时序全球性海洋观测数据的一种有效补充。

无人机遥感图像几何畸变校正全过程控制方法研究

几何畸变是一种常见的像素点突变行为,在无人机遥感图像中,像素点几何畸变行为的表现能力越强,遥感主机对无人机图像的控制能力越弱。为准确校正像素点几何畸变行为,提升遥感主机对无人机图像的控制能力,针对无人机遥感图像几何畸变校正全过程控制方法展开研究;提取无人机遥感图像的几何描述符,并定义畸变像素点的尺度空间,完成对畸变像素点的配准处理;针对几何畸变像素点实施重采样,通过计算畸变校正参数的方式,求解校正处理函数,实现对无人机遥感图像几何畸变的校正;利用畸变校正交点,确定图像几何畸变区域的覆盖范围,再联合控制对象标定条件,完成对无人机遥感图像几何畸变校正的全过程控制;实验结果表明,所提控制方法的应用,可以避免几何畸变节点处的像素值出现明显变化的情况,畸变前后的像素差不超过5.0 pt,能够实现对无人机遥感图像中像素点几何畸变行为的精准校正,符合实际应用需求。

基于夜光数据的大气遥感研究进展

随着美国国防气象卫星(DMSP)、苏奥米国家极地轨道伙伴卫星(Suomi NPP)等一系列夜间微光遥感卫星的发射,夜间微光遥感得到越来越多的学者关注。国内外学者不断探索微光数据在定量遥感中的应用,但基于夜光数据的大气遥感研究成果的系统性整理和总结的研究却相对较少。基于此,对过去20年基于夜间微光数据在大气遥感中的研究进行了全面的综述。从微光成像仪辐射定标、微光辐射传输模型以及基于微光数据的大气参数研究三个方面总结归纳了夜间微光卫星遥感定量化研究的进展,梳理了微光数据在大气遥感研究中的应用现状与特点,以期为夜间微光数据在大气遥感的深入研究中提供有价值的参考。

复合负反馈技术在宽带有源微波冷噪声源中的应用

针对C波段宽带有源微波冷噪声源设计中输出低温噪声性能与工作带宽的矛盾,文中选用Avago公司的ATF38143型GaAs基赝掺杂高电子迁移率晶体管(pHEMT)设计了一款C波段宽带有源微波冷噪声源。采用串、并联负反馈电路拓扑结构,在保证低温噪声输出性能的同时提升了工作带宽,其中心频点为6.95 GHz,工作带宽为1.3 GHz,相对带宽为18.7%,常温条件下带内输出最低噪声温度为141.62 K,工作频段可覆盖C波段微波辐射计中心频点为6.60 GHz、6.93 GHz、7.30 GHz的三个通道。

校准水流量计在线比对测试技术研究

水流量计在测试过程中通常采用一表一侧的单一性现场测试方式,存在检测效率低下、现场校验精确性不高等问题。因此,为实现其在线校验和远程监控,本文提出一种基于虚拟仪器技术的移动式水流量计在线校准系统,并进行实验验证。试验表明:该系统可将校准精度提高至96%,且稳定性提高了23%,可为后续研究奠定技术基础。