利用四元数描述线阵CCD影像的空间后方交会

将四元数理论引入高分辨率线阵CCD影像的空间后方交会解算中,提出了一种利用四元数描述线阵CCD影像的单片空间后方交会方法。该方法利用四元数描述角度旋转矩阵,对严格的共线条件方程进行线性化,并采用正则化的数学方法克服线阵CCD影像外方位元素的相关性。试验证明了本算法的正确性和可靠性。     

基于CCD的高精度水管倾斜仪研制

CCD技术近年来已发展的非常成熟,应用范围广泛.本文介绍了利用CCD技术实现的高精度水管倾斜仪测量系统,其采用非接触式测量方法降低了测量过程中浮子干扰对测量精度的影响,体积小,安装简单,可用于流动观测中.     

The Ultimate CCD for Laser Guide Star Wavefront Sensing on Extremely Large Telescopes

All of the extremely large telescopes (ELTs) will utilize sodium laser guide star (LGS) adaptive optics (AO) systems. Most of these telescopes plan to use the Shack-Hartmann approach for wavefront sensing. In these AO systems, the laser spots in subapertures at the edge of the pupil will suffer from spot elongation due to the 10 km extent of the sodium layer and the large separation from the projection laser. This spot elongation will severely degrade the performance of standard geometry wavefront sensing systems. In this paper, we present a CCD with custom pixel morphology that aligns the pixels of each subaperture with the radial extension of the LGS spot. This CCD design will give better performance than a standard geometry CCDs for continuous wave lasers. In addition, this CCD design is optimal for a pulsed sodium laser. The pixel geometry enables each subaperture to follow a laser pulse traversing the sodium layer, providing optimal sampling of a limited number of detected photons. In addition to novel pixel layout, this CCD will also incorporate experimental JFET sense amplifiers and use CMOS design approaches to simplify the routing of biases, clocks and video output. This CCD will attain photon-noise limited performance at high frame rates, and is being incorporated in the plans for the Thirty Meter Telescope (TMT).     

视频CCD在天体定位应用中的两个问题

本文简要提出了视频ＣＣＤ在天体定位方面的两个问题；比例尺和定位精度的问题。并提出了两个确定比例尺的方法。本文认为影响比例尺和定位精度的主要因素是与所使用的图象板相关。     

应用商用CCD配备录像机进行天体定位的试验

本工作是为今后在1.2米望远镜上利用商用CCD配备录像机进行人卫快速精密定位观测所做的初步试验,其目的是在实验室里模拟检测商用CCD配备录像机后对星像的绝对及相对定位精度。通过使用不同图像板及录像带在不同幅度的CCD视频信号情况下的分组试验,得到了满足人卫观测的结果,CCD对绝对位置及相对位置的定位误差均小于±0.5个象元。本文还对误差产生的原因进行了初步分析。     

基于landsat 8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究

水体的表面温度是研究环境气候变化的一个重要参数,同时,也是研究生物物理过程的一个不可或缺的因子。卫星遥感对大面积水体表面温度的监测有着传统的测量手段无法比拟的效率。水体表面的温度变化不仅对水中生物的生存有着重要的意义,同时,水温的变化也常常会导致水中浮游生物和植物疯长,进而引起水资源的污染,对人们的生活造成严重的影响。本文利用ENVI/IDL 5.1对Landsat 8卫星的OLI/TIRS数据和HJ-1CCD多光谱数据在太湖水体区域开展了其在温度反演和叶绿素含量的监测等领域的研究。研究结果表明:1)使用HJ_1B反演的结果和Landsat 8反演的结果呈现一致性。2)通过实测的数据和反演数据建立了模型并通过同名点实测数据对实验结果进行了验证,证明了建立的模型的可靠性,找到了误差来源。最后分析了造成叶绿素含量较高的原因及反演的难点。     

论不同航天摄影测量传感器的摄影测量性能

介绍了光学框幅相机胶片摄影、光学相机CCD线阵摄影、微波雷达成像的摄影测量现状以及各自的摄影测量性能与特点。     

Optical Observations of the Nearby Isolated Pulsar PSR 0656+14 at the SAO 6-meter Telescope.

BVR data for the middle-aged radio pulsar PSR 0656+14 obtained on January 20-21, 1996 at the 6-m telescope of the Special Astrophysical Observatory are presented. The brightness of a star-like object coincident with the position of the VLA radio source in the Cousins B filter is B 25.1, with eff = 4448Å, adjacent to the HST F130LP long-pass filter. The relatively large V and R fluxes (3 or > 10-30 ergs cm-2 s-2 Hz-1) provide evidence that the optical emission of this pulsar is non-thermal up to 6600 Å. Most probably, in the UV-optical (BVR) spectral range, a power-law spectrum is super-imposed on the thermal-like emission of the neutron star surface, which could be related to the mechanism of the pulsar activity itself.     

HJ-1卫星CCD影像的土地利用自动分类及精度分析——以广西钦北区为例

为研究环境一号小卫星影像在土地利用研究领域的应用潜能,本文以广西钦北区为例,对其进行计算机监督分类,在评定监督分类模板精度的前提下,参照第二次全国土地调查农村数据库,对计算机监督分类结果进行精度评定,最后利用计算机自动地将分类结果发送到实地进行野外验证,并对分类的结果进行全面、准确的评价,以此证明提升环境一号CCD影像自动分类精度和准确度能满足土地利用现状调查的要求。     

Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons

Remote sensing images are widely used to map leaf area index (LAI) continuously over landscape. The objective of this study is to explore the ideal image features from Chinese HJ-1 A/B CCD images for estimating winter wheat LAI in Beijing. Image features were extracted from such images over four seasons of winter wheat growth, including five vegetation indices (VIs), principal components (PC), tasseled cap transformations (TCT) and texture parameters. The LAI was significantly correlated with the near-infrared reflectance band, five VIs [normalized difference vegetation index, enhanced vegetation index (EVI), modified nonlinear vegetation index (MNLI), optimization of soil-adjusted vegetation index, and ratio vegetation index], the first principal component (PC1) and the second TCT component (TCT2). However, these image features cannot significantly improve the estimation accuracy of winter wheat LAI in conjunction with eight texture measures. To determine the few ideal features with the best estimation accuracy, partial least squares regression (PLSR) and variable importance in projection (VIP) were applied to predict LAI values. Four remote sensing features (TCT2, PC1, MNLI and EVI) were chosen based on VIP values. The result of leave-one-out cross-validation demonstrated that the PLSR model based on these four features produced better result than the ten features’ model, throughout the whole growing season. The results of this study suggest that selecting a few ideal image features is sufficient for LAI estimation.