遥感土地利用动态监测变化信息自动提取与实证研究
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摘要
遥感土地利用动态监测在我国已有近20年的发展历程,其目的:一是利用遥感影像监测土地利用的动态变化:二是利用监测的变化信息分析影响土地利用变化的因素与变化过程,预测其变化、演化趋势,以指导政府对土地利用管理与决策。遥感土地利用动态监测反映的是区域土地利用动态变化的过程,监测数据呈现出明显的时态特征,随着我国经济建设的迅猛发展,土地利用变化显著,遥感土地利用动态监测周期越来越短,这就需要信息提取快速、高效,并在GIS系统中统一管理和查询分析。
     传统土地利用动态监测变化信息的提取主要是依据目视解泽与计算机识别交互进行,这种方法耗时耗力,其准确度依赖参与解译分析人的知识与经验,操作程序不具有重复性。遥感变化信息自动提取方法已有多人研究,但大多研究的重点体现在不同方法所适宜的应用领域,很少有人关心各种方法实践应用的难易程度和和变化信息的分类解译。
     本文根据遥感土地利用动态监测的特点,在总结国内外研究遥感信息提取方法的基础上,系统地阐述了遥感影像融合理论与方法,利用ERDAS、ArcGIS、MAPGIS等软件完成影像增强处理、变化信息提取等研究工作。对常用的图像融合:IHS变换融合、BROVEY变换、小波变换和IHS变换相结合融合、PCA变换融合以及PCA与HIS变换相结合融合等方法进行了试验对比分析与效果评价,建立了信息熵、平均梯度、方差等7个影像融合质量评价指标并对各融合影像效果加以评价,得出IHS变换融合方法效果最好,PCA+IHS变换融合方法次之的结论。在此基础上,进一步研究了变化信息提取方法,并对差值法、比值法、主成分变换法、特征变异法等信息提取方法进行了试验,通过对试验结果的对比分析认为:采用差值法进行变化信息提取的同时,兼顾特征变异法对影像变化信息进行修正,能够提高信息提取的效率,大大减少了变化信息提取的错提、遗漏情况。在上述理论研究的基础上,并以某城市作为研究试验区,利用两时相的SPOT5影像为数据源进行实证研究,建立了遥感土地利用动态监测变化信息自动提取的实践应用框架体系,实现土地利用动态监测变化信息自动提取,达到了遥感土地利用动态监测变化信息提取实践应用的简单化、实用化,减轻作业强度,提高了工作时效,为快速、准确开展土地利用动态遥感监测提供了可行的技术方案,具有一定的实践应用价值。
Application of remote sensing technology for land use monitoring in our country has beennearly 20 years. There are two purposes for dynamic monitoring: First, using remote sensingimages to monitor land-use changes; another is using monitoring data to analyze the factorsaffecting the process of land-use changes and trends, to guide government's management andpolicy. In addition, dynamic monitoring reflects the dynamic changes process of region land use,and the temporal characteristic of the monitoring data is obvious. With the development of ourcountry, the changes of land use are greatly, the periods of dynamic monitor get shorter and shorter.Therefore, we need extract information, which is unified managed and queried in GIS, in a rapidand effective way.
     For traditional methods of land use dynamic monitoring, the extraction of changedinformation mainly depends on visual interpretation and computer synchronization. This methodtakes a lot of time and energy, moreover it relies on the knoeledge and experience of the personwho participate in the visual interpretation. Generally the operation does not need duplication.Although many people have studied the methods of extracting remote sensing changed informationautomatically, most methods focus on the application which is suitable for different fields, and fewconcerned with the degree of realization and the convenience of operation as well as the classifyinterpretion of changed information.
     My paper is on the base of the development domestically and abroad, viewing of the land usedynamic monitor characteristic.At the same time, my paper has a systerms elaboration about thetheory and method of remote sensing images fusion. I use ERDAS、ArcGIS、MAPGIS to completethe images enhancement and changed information extraction.For the commonly images fusionmethods such as IHS transformation fusion method、BROVEY transformation、the conmbinedfusion of wavelet and IHS transformation、PCA change fusion and the combined fusion betweenPCA and IHS, I carry on experimental comparative analysis and effects appraise, and establishseven images fusion quality evaluation indicators about the information entropy, the averagegradient、variance and so on,as well as evaluate the effection of fusion images. At last by the fusionimage performance index, I come to the conclusion that the fusion method of IHS transformation isbest for dealing with land use dynamic monitor data fusion. The next is PCA+IHS transformationfusion method.On the base of fusion method research, I has further studied the method of changed information extraction, and did comparative experiment on D-value method、radio method, PCA,spectral characteristic variation. Through the experimental comparative analysis, I come to aconclusion that we can improve the information extraction efficiently, reduce the chance of wrongand missing information when use D-value method to extract changed information as well as usespectral characteristic variation to modify image changed information. On the base of the theorystudied above,I selected a city as experimental area, done empirical study by SPOT5 Imagesdata, And I establish the practice application frame system in the foundation of remote sensing landuse dynamic monitor, also realize remote sensing land use dynamic monitoring changedinformation extraction automatically.At last, I acheive the goal that the practice application issimplified, the application is practical, reducing the work intensity, enhancing the workingefficiency. I offer a technical project to make the land use dynamic remote sensing monitor fast andaccurate more and more, so my paper does have practical application value.
引文
曹闻.2004.遥感图像配准与融合技术研究.测绘通报.(2):16
    陈素蜜.2005.遥感与地理信息系统相结合的城市空间扩展研究.地理空间信息.3(1):33~36
    陈少辉,张秋六,王乘,周建中.2006.基于亮度相关矩的MODIS和SPOT影像融合研究.遥感学报.10(1):91
    陈少辉,张秋文,王乘,周建中.2006.基于亮度相关矩的MODIS和SPOT影像融合研究.遥感学报.1.10(1):95
    陈述.1999.遥感技术与遥感数字图像分析处理方法、解译制图及其综合应用实务全书.6~7
    陈述彭.1990.地学的探索(第3卷)[C].科学出版社.20~32
    党安荣,王晓栋,陈晓峰,张建宝.2002.ERDAS IMAGINE遥感图像处理方法.清华大学人居环境研究中心.2:1~7
    冯德俊.2004.基于遥感的土地利用变化监测及其信息自动提取.西南交通大学博士研究生学位论文.16
    冯德俊,李永树,,兰燕.2004.基于主成分变换的动态监测变化信息自动发现.计算机工程与应.36:199~202
    黄福奎.1998.论遥感技术在土地利用动态监测中的应用.中国土地科学.12(3):21~25
    李德仁.2003.论21世纪遥感与GIS的发展.武汉大学学报.信息科学版[J]28(2):127~130
    李天峻.1997.遥感综合时空信息在土地利用动态监测中的应用概述.国土资源遥感.2:38~42
    刘纪远.i997.国家资源环境遥感宏观调查与动态监测研究.遥感学报.1:225~230
    刘纪远,张曾祥等.2005.20世纪90年代中国土地利用变化的遥感时空信息研究.科学出版社.19~35
    刘鹰,张继贤,林宗坚.1999.土地利用动态遥感监测中变化信息提取方法的研究
    刘波坤,,孟淑英等.2001.移民工程遥感动态监测.北京国土资源遥感公司.12:50~52
    刘丽.2005.多源遥感图像像素级融合方法研究.湖南大学硕士学位论文.23~25
    楼立明.2004.SPOT5遥感影像在土地利用变更调查中的应用
    吕惠萍.2001.SPOT卫片在土地利用分类中的应用效果初探.地质地球化学.5:55~53
    贾永红.2005.多源遥感影像数据融合技术.测绘出版社.44~48
    牛凌宇.2005.多源遥感图像数据融合技术综述.空间电子技术.(1)
    彭立芹,冯文钊,曾志远,宋福.2004.应用“3S”技术进行土地利用动态监测.农机 化研究.5(3)::29~32
    石林.2006.地理信息系统在河流污染事故中的应用.4
    孙丹峰.2006.遥感基础导论讲义.中国农业大学资源与环境学院
    孙蓉桦,郭德方.2005.SPOT5全色与多光谱数据融合方法的比较研究.遥感技术与应用.6.20(3)
    汤国安等.2004.遥感数字图像处理.科学出版社.3(1):124
    汤国安等.2004.遥感数字图像处理.科学出版社.3(1):164~167
    汤国安,张有顺等.2004.遥感数字图像处理.科学出版社.(1):270~271
    田浩等.2005.多源遥感影像融合技术及其在更新土地利用数据库中的应用.测绘用程.3:67~69
    童庆禧.2005.空间信息技术与社会可持续发展.科学与中国——院士专家巡讲报告集(第一辑).北京大学出版社.5
    童庆诸,张兵,郑兰芬.2006.高光谱遥感——原理、技术与应用.高等教育出版社.6(1):293~298
    席承藩.1994.我国土壤地理.159
    郁文贤等.2002.我国遥感应用的现状与技术发展对策
    袁占良.2000.“3S”技术在土地利用动态监测中的应用.桂林航天工业高等专科学校学报.(2)
    翁永玲,田庆久.2003.遥感数据融合方法分析与评价综述.遥感信息.3:49~53
    张超,王远飞,李治洪,何洪林.2000.地理信息系统实习教程.高等教育出版社.2~4
    赵英时等.2003.遥感应用分析原理与方法.科学出版社.6(1):3
    赵英时等.2003.遥感应用分析原理与方法.科学出版社.6(1):67
    赵英时等.2003.遥感应用分析原理与方法.科学出版社.6:337
    郑明国.2002.ERDAS软件支持下的土地利用/土地覆盖分类研究——以郑州市土地利用/土地覆盖制图为例.河南大学研究生硕士学位论文.11
    朱述龙,朱宝山,王红卫.2006.遥感图像处理与应用.科学出版社.(1):25~28
    汤国安,张有顺等.2004.遥感数字图像处理.科学出版社.(1):88~91
    汤国安,张有顺等.2004.遥感数字图像处理.科学出版社.3(1):124
    汤国安,张有顺等.2004.遥感数字图像处理.科学出版社.(1):156~157
    张京红.2001.应用SPOT卫片进行县级土地利用调查的精度分析.陕西气象.3:10~12
    张永生,巩丹超等.2004.高分辨率遥感卫星应用——成像模型、处理算法及应用技术.科学出版社,5(1):52
    周成虎,骆剑承等.1999.遥感影像地学理解与分析.科学出版社.12:1
    周世烨,贺茂林.2005.3S技术在国土资源规划和动态监测中的应用.国土资源.
    周铁军,赵廷宁.2005.宁夏盐池县土地格局变化分析.湖北林业科技.3:13~17
    庄大方.1997.中国土地利和的区域分异模型研究.自然资源学报.12(2):105~111
    Campbell. 1993. The use of Bayesian estimation theory onsatellitedata fusion, MscThesis (INPE_5035-TDL/403)INPE, Sao JOSEdos Campos, S. P. Brazil
    Chavez. 1991 , An empirical comparison of evidential reasoning Linear discriminant analysis and maximum liklithood Algorithms for alpine land cover classification, Canadian Journal of Remote Sensing, Vol. 19,31 —44
    
    Cihlar,J.,Ly,H.,and Xiao,Q. 1996. Land Cover Classification with AVHRR Multichannel Composites in Northern Environments,REMOTE SENCE.ENFIRON. VOL.58:36-52
    
    Hansen. etal . 1996. The Status of Agricultural Lands in Egypt: The Use of Multitemporal NDVI Features Dreived from LandsatTM;Remote Sens.Environ. 56 :8-20
    
    Moody.Strahler.1993. Image classification with a Neural Network: from completely-crisp to fully fuzzy situations [A]. In: Advances in remote sensing and GIS analysis[C]. Chichester: Wiley &Son. 17-37
    
    Skidmore A, Turner B, Brinkhof W, et al. 1997. Performance of Neural Network: Mapping Forests Using GIS and Remotely Sensed Data[J]. Photogrammetric Engineering and Remote Sensing. 63:501—514
    
    Wald L, Ranchin T, Mangolini M. 1997. Fusion Resolutions: assessing the Quality of resulting of Satellite Images of Different Spatialimages. Photoetric Engineering & Remote Sensing.63: 691-699