当代感光影像洗印处理设备概览

本文介绍了近年来国内外感光影像洗印处理领域的一些新技术、新设备及其新功能，简要分析了该领域技术及设备的发展方向．

敦煌研究院收藏感光影像档案保存状况调查研究

敦煌研究院收藏中华人民共和国成立初期至2000年拍摄的敦煌莫高窟等重要文物的感光银盐黑白照相底片、彩色照相底片、幻灯片以及黑白玻璃底片是研究敦煌文物保护发展历程的重要影像资料档案。通过对这批感光影像档案调查研究发现,除少量早期彩色照相底片出现了褪色现象外,其余感光影像档案保存状况良好,未发现明显的病害现象。本文在敦煌研究院收藏感光影像档案调研的基础上,分析总结了敦煌研究院收藏感光影像档案保存状态良好的原因。

染料影像重氮盐感光纸制备的研究

报导用一种新的3-甲氧基二苯胺-4-重氮盐和偶合剂制备染料影像重氮感光纸的方法,其感光速度、清晰度、反差、保存性等指标都达到日本理光高速重氮纸SDE的同样水平并综述了重氮感光纸的曝光、显影成像原理与方法,以及产品质量检测方法。

染料影像重氮盐感光纸制备的研究

报导用一种新的3-甲氧基二苯胺-4-重氮盐和偶合剂制备染料影像重氮感光纸的方提提要：法，其感光速度、清晰度、反差、保存性等指标都达到日本理光高速重氮纸SDE的同样水提提要：平。并综述了重氮感光纸的曝光、显影成像原理与方法，以及产品质量检测方法。

染料影像重氮盐感光纸制备的研究(续)

The paper reports a new method of preparing dye image diazonium salt sensitive paper with 3-methoxydiphenylamine-4-diazonium salt and coupling agent. All the indices such as the speed of sensitization, intelligibility, contrast and conservation property of the prepared paper meet the same level of Japanese Ricoh high speed diazo paper SDE. The paper also expounds the exposure, development and image formation principles and methods of diazo sensitive paper and the methods for quality detection.

关于召开中国感光学会成立30周年庆祝大会暨2011年学术年会的一轮通知

各团体会员单位、学会个人会员：各位理事、常务理事、学术委员会委员、专业委员会正、副主任： 中国感光学会从1981年成立至今已有30年.在过去的30年里,学会团结全国影像和感光科技工作者,在中国共产党和政府的领导下,在中国科协的领导下,在挂靠单位的大力支持下,经过理事会和广大会员的共同努力，为推动和发展我国感光影像科技事业做出了重要贡献．

感光材料与性能测试

TB84 2001021203半导体红光照排片=Semiconductor red laser photo-composing films[刊,中]/宋涛(中国乐凯胶片公司研究所.河北,保定(071054))//感光材料.—2000,(5).-22-23介绍了胶片的性能与特点,半导体红激光照排片的加工特点,并展望了市场前景。图2表2(李瑞琴)TQ573.61 2001021204感光影像微结构分析仪的影像分析软件包研制=Compilation of software package for the use ininstrument of photographic image microstruc-

关于推荐中国感光学会第二届青年科技奖候选人的通知

各专业委员会、各理事单位： 根据《中国感光学会青年科技奖奖励办法》，为激发广大感光影像领域青年科技工作者的创新创造热情，中国感光学会今年将评选第二届青年科技奖，颁奖活动将在2016年11月“中国感光学会2016年学术年会暨第九届四次理事会”期间举办。

中国感光学会2018年工作总结

2018年8月28-30日,我会影像保护专委会组织代表参加了在山西长治举办的“新时代的档案工作”学术研讨会。会议期间专委会主任李玉虎教授作了主题为“档案原貌恢复”的学术报告,报告主要讲解了近年来中国感光学会影像保护专委会依托陕西师范大学历史文化遗产保护教育部工程研究中心近年来在感光影像类文化遗产保护领域取得的创新成果,并为与会代表讲解和普及了感光影像档案保护的知识。

关于召开中国感光学会成立30周年庆祝大会暨2011年学术年会的一轮通知

各团体会员单位、学会个人会员： 各位理事、常务理事、学术委员会委员、专业委员会正、副主任： 中国感光学会从1981年成立至今已有30年。在过去的30年里，学会团结全国影像和感光科技工作者，在中国共产党和政府的领导下，在中国科协的领导下，在挂靠单位的大力支持下，经过理事会和广大会员的共同努力．为推动和发展我国感光影像科技事业做出了重要贡献。值此30周年纪念，

2006中国科协年会第11．2分会场中国盛光学会“数字成像技术与影像材料科学”学术交流会在北京召开

2006中国科协年会第11．2分会场“数字成像技术与影像材料科学”学术交流会，于2006年9月16—17日在北京电影学院召开。我国感光影像专家邹竞院士、本学会蒲嘉陵、刘宝生、杨万泰、晏磊等副理事长，赵震声秘书长，温荣谦原理事长．陈萍、王佩芳原副理事长，中国乐凯胶片集团原总经理杜昌焘，数字成像和非银盐专业委员会正副主任及学会秘书处人员出席了会议。中国乐凯胶片集团公司、中科院理化技术研究所、北京大学、清华大学、北京师范大学、北京化工大学、北京印刷学院、北京理工大学、北京微量化学研究所、北大方正电子有限公司、北京钱币厂等单位的近80名代表参加了学术交流会。收到会议论文共43篇，有33位专家学者在分会场作了报告。

A Thin Cloud Removal Method from Remote Sensing Image for Water Body Identification

In this paper,a thin cloud removal method was put forward based on the linear relationships between the thin cloud reflectance in the channels from 0.4 μm to 1.0 μm and 1.38 μm.Channels of 0.66 μm,0.86 μm and 1.38 μm were chosen to extract the water body information under the thin cloud.Two study cases were selected to validate the thin cloud removal method.One case was applied with the Earth Observation System Moderate Resolution Imaging Spectroradiometer(EOS/MODIS) data,and the other with the Medium Resolution Spectral Imager(MERSI) and Visible and Infrared Radiometer(VIRR) data from Fengyun-3A(FY-3A).The test results showed that thin cloud removal method did not change the reflectivity of the ground surface under the clear sky.To the area contaminated by the thin cloud,the reflectance decreased to be closer to the reference reflectance under the clear sky after the thin cloud removal.The spatial distribution of the water body area could not be extracted before the thin cloud removal,while water information could be easily identified by using proper near infrared channel threshold after removing the thin cloud.The thin cloud removal method could improve the image quality and water body extraction precision effectively.

Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area

In order to promote the application of Beijing-1 small satellite(BJ-1) remote sensing data,the multispectral and panchromatic images captured by BJ-1 were used for land cover classification in Pangzhuang Coal Mining.An improved Intensity-Hue-Saturation(IHS) fusion algorithm is proposed to fuse panchromatic and multispectral images,in which intensity component and panchromatic image are combined using the weights determined by edge pixels in the panchromatic image identified by grey absolute correlation degree.This improved IHS fusion algorithm outper-forms traditional IHS fusion method to a certain extent,evidenced by its ability in preserving spectral information and enhancing spatial details.Dempster-Shafer(D-S) evidence theory was adopted to combine the outputs of three member classifiers to generate the final classification map with higher accuracy than that by any individual classifier.Based on this study,we conclude that Beijing-1 small satellite remote sensing images are useful to monitor and analyze land cover change and ecological environment degradation in mining areas,and the proposed fusion algorithms at data and decision levels can integrate the advantages of multi-resolution images and multiple classifiers,improve the overall accuracy and produce a more reliable land cover map.

穷人的法拉利

提起DC巨头,不能不提Canon了。从新闻摄影记者们手中的利器——专业级的EOS1Ds,到让众多摄友垂涎的中档机——EOS10D;这些都是大多数人可望而不可及的优品。

文物保护技术的领军人物——李玉虎

李玉虎,教授,博士生导师,陕西师范大学历史文化遗产保护教育部工程研究中心主任。第五届中国十大杰出青年、国家有突出贡献中青年专家,1995年入选国家百、千、万人才工程第一、二层次,2005年被中国科学技术协会评为全国优秀科技工作者。自1983年起从事档案与文物保护研究工作,针对历史文化遗产保护领域存在的国际性难题,进行三十余年的攻关研究,完成的系列创新性科研成果通过国家档案局、文物局、陕西省科技厅鉴定.

器材资讯

柯达数码及感光影像部亚太区总经理Francois monnet 为与会者介绍柯达的理念与目标3月底,柯达公司在北京召开了主题为高"焦"远瞩的数码高峰论坛,由此拉开了柯达全年数码战略的大幕。在今年年初,柯达公司做出重大内部结构调整。

Atmospheric correction of remote sensing imagery based on the surface spectrum’s vector space

Due to the atmosphere effect,the qualities of images decrease conspicuously,practically in the visible bands,in the processing of earth observation by the satellite-borne sensors.Thus,removing the atmosphere effects has become a key step to improve the qualities of images and to retrieve the actual reflectivity of surface features.An atmospheric correction approach,called ACVSS(Atmospheric Correction based Vector Space of Spectrum),is proposed here based on the vector space of the features' spectrum.The reflectance image of each band is retrieved first according to the radiative transfer equation,then the spectrum's vector space is constructed using the infrared bands,and finally the residual errors of the reflectance images in the visible bands are corrected based on the pixel position in the spectrum's vector space.The proposed methodology is verified through atmospheric correction on Landsat-7 ETM+ imagery.The experimental results show that our method is more accurate and the corrected image is more distinct,compared with those offered by current popular atmospheric correction software.

Land cover classification of remote sensing imagery based on interval-valued data fuzzy c-means algorithm

There is a certain degree of ambiguity associated with remote sensing as a means of performing earth observations.Using interval-valued data to describe clustering prototype features may be more suitable for handling the fuzzy nature of remote sensing data,which is caused by the uncertainty and heterogeneity in the surface spectral reflectance of ground objects.After constructing a multi-spectral interval-valued model of source data and defining a distance measure to achieve the maximum dissimilarity between intervals,an interval-valued fuzzy c-means(FCM)clustering algorithm that considers both the functional characteristics of fuzzy clustering algorithms and the interregional features of ground object spectral reflectance was applied in this study.Such a process can significantly improve the clustering effect;specifically,the process can reduce the synonym spectrum phenomenon and the misclassification caused by the overlap of spectral features between classes of clustering results.Clustering analysis experiments aimed at land cover classification using remote sensing imagery from the SPOT-5 satellite sensor for the Pearl River Delta region,China,and the TM sensor for Yushu,Qinghai,China,were conducted,as well as experiments involving the conventional FCM algorithm,the results of which were used for comparative analysis.Next,a supervised classification method was used to validate the clustering results.The final results indicate that the proposed interval-valued FCM clustering is more effective than the conventional FCM clustering method for land cover classification using multi-spectral remote sensing imagery.