收稿日期: 2010-11-23
修回日期: 2011-04-24
网络出版日期: 2011-07-10
基金资助
国家重点基础研究发展计划项目“陆表生态环境要素主被动遥感协同反演理论与方法”第二课题“地表时空变化特征参数的遥感定量描述与尺度转换”（编号：2007CB714402-10）；国家自然科学基金项目“遥感分类中的尺度效应机理与多尺度遥感数据分类方法研究”（编号：40871161）；遥感科学国家重点实验室自由探索项目“地表参数多源遥感数据产品融合方法研究”资助.
Comparison of Multi-Sources Remote Sensing Thematic Information: Progresses, Problems and Prospects
Received date: 2010-11-23
Revised date: 2011-04-24
Online published: 2011-07-10
由于传感器特性、信息提取方法、模拟模型等不同，从多源、多时相的遥感数据获取各种遥感专题信息之间不可避免存在差异，在数据应用之前常常需要对这些专题信息进行比较和评价。多源遥感专题信息比较方法多种多样，依据处理单元或处理对象特性将多源遥感专题信息比较方法分为三大类：基于像元误差矩阵的比较、基于格局特征的比较和其他比较方法。首先总结了当前这几类遥感专题信息进行比较的方法和评价指标，分析了这些多源遥感信息比较方法和评价指标的优点和局限性。其次对多源专题信息提取算法、专题信息本身特性、多源信息比较方法和评价指标造成的不确定性问题以及多尺度信息比较过程中存在的问题进行了分析。最后从遥感专题数据产品的研发小组和用户的角度指出数据集在生成和应用过程中值得注意的几个问题。
李爱华，柏延臣 . 多源遥感专题信息比较研究：现状、问题与展望[J]. 地球科学进展, 2011 , 26(7) : 741 -750 . DOI: 10.11867/j.issn.1001-8166.2011.07.0741
Because there are some distinctions in remote sensor characteristics, the methods to abstract information, models for simulation and so on, some differences between the same thematic information may present inevitably. Inter-comparison should be performed before these thematic data being used. Different maps can be compared in a variety of ways. In this paper, the comparison methods are divided into three classes depending on the processed unit, that are comparison based on confusion matrix with pixel unit, comparison based on pattern features with object unit and the others. The advantages and disadvantages of these methods and their corresponding evaluation indexes are stated systematically. Then some uncertainty problems, which are caused by the nature of comparison methods and evaluating indicators, map characteristics, and the scale effect in multi-resolution data, are analyzed. At last, some attentions that should be paid on are presented for satellite product development teams and product users.
[1]Boots B, Csillag F. Categorical maps, comparisons, and confidence [J]. Journal of Geographical Systems, 2006, 8(2):109-118.
[2]Herold M, Mayaux P, Woodcock C E, et al. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets [J]. Remote Sensing of Environment, 2008, 112(5):2 538-2 556.
[3]Jan Pisek, Chen J M. Comparison and validation of MODIS and VEGETATION global LAI products over four Bigfoot sites in North America [J]. Remote Sensing of Environment,2007, 109(1):81-94.
[4]Chen P Y, Luzio M Di, Arnold J G. Spatial agreement between two land-cover data sets stratified by agricultural eco-regions[J].International Journal of Remote Sensing, 2006, 27(15):3 223-3 238.
[5]Martin Jung, Kathrin Henkel, Martin Herold, et al. Exploiting synergies of global land cover products for carbon cycle modeling [J].Remote Sensing of Environment, 2006, 101(4): 534-553.
[6]McCallum I, Obersteiner M, Nilsson S, et al. A spatial comparison of four satellite derived 1km global land cover datasets[J]. International Journal of Applied Earth Observation and Geoinformation,2006, 8(4):246-255.
[7]Smith J H, Wickham J D, Stehman S V. Impacts of patch size and land-cover heterogeneity on thematic image classification accuracy[J]. Photogrammetric Engineering and Remote Sensing,2002,68(1):65-70.
[8]Foody G M. Status of land cover classification accuracy assessment[J].Remote Sensing of Environment,2002, 80(1):185-201.
[9]Comber A, Fisher P, Wadsworth R. Assessment of a semantic statistical approach to detecting land cover change using inconsistent data sets[J]. Photogrammetric Engineering and Remote Sensing,2004, 70(8):931-938.
[10]Aguera F,Aguilar M A, Aguilar F J. Detecting greenhouse change from Quickbird imagery on the Mediterranean coast [J]. International Journal of Remote Sensing, 2006, 27(21):4 751-4 767.
[11]Hargrove W, Hoffman F M, Schwartz P M. A fractal landscape realizer for generating synthetic maps[J]. Conservation Ecology, 2002, 6(1):2.
[12]Hagen A. Fuzzy set approach to assessing similarity of categorical maps [J]. International Journal of Geographical Information Science,2003, 17(3):235-249.
[13]Verburg P H, Schot P P, Dijst M J, et al. Land use change modelling: Current practice and research priorities[J]. GeoJournal,2004, 61(4):309-324.
[14]Giri C, Zhu Z, Reed B. A comparative analysis of the Global land cover 2000 and MODIS land cover data sets [J]. Remote Sensing of Environment, 2005, 94(1):123-132.
[15]Gao Y, Mas J F, Maathuis B H P, et al. Comparison of pixel-based and object-oriented image classification approached—A case study in a coal fire area, Wuda, Inner Mongolia, China [J]. International Journal of Remote Sensing,2006, 27(18):4 039-4 055.
[16]Jimenez-Rodrguez L O, Arzuaga-Cruz E, Velez-Reyes M. Unsupervised linear feature extraction methods and their effects in the classification of high-dimensional data [J]. IEEE Transactions on Geoscience and Remote Sensing,2007, 45(2):469-483.
[17]Mahiny A S, Turner B J. A comparison of four common atmospheric correction methods [J].Photogrammetric Engineering and Remote Sensing, 2007, 73(4):361-368.
[18]Nangendo G, Skidmore A K, van Oosten H. Mapping East African tropical forests and woodlands—A comparison of classifiers [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 61(6): 393-404.
[19]Pontius R G, Olufunmilayo Thontteh, Hao Chen. Components of information for multiple resolution comparison between maps that share a real variable[J].Environmental and Ecological Statistics,2008, 15(2):111-142.
[20]Foody G M. What is the difference between two maps? A remote sensor’s view [J]. Journal of Geographical Systems, 2006, 8:119-130.
[21]Okeke F, Karnieli A. Methods for fuzzy classification and accuracy assessment of historical aerial photographs for vegetation change analysis-Part I: Algorithm development [J]. International Journal of Remote Sensing,2006, 27(1):153-176.
[22]Stehman S V. Design, analysis, and inference for studies comparing thematic accuracy of classified remotely sensed data: A special case of map comparison[J]. Journal of Geographical Systems,2006, 8(2): 209-226.
[23]Visser H T, de Nijs. The map comparison kit [J]. Environmental Modelling and Software,2006, 21(3):346-358.
[24]Casey Cleve, Maggi Kelly, Kearns F R, et al. Classification of the wildland-urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography[J].Computers, Environment and Urban Systems,2008,32(4):317-326.
[25]Yuhong Tian, Woodcock C E, Wang Yujie,et al. Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment[J]. Remote Sensing of Environment,2002,83(3):414-430.
[26]Remmel T K, Csillag F. Mutual information spectra for comparing categorical maps [J]. International Journal of Remote Sensing,2006, 27(7):1 425-1 452.
[27](]Pontius R G, Huffaker D, Denmand K. Useful techniques of validation for spatially explicit land-change models[J]. Ecological Modelling,2004, 179(4): 445-461.
[28]Pontius R G, Wideke Boersma, Jean-Christophe Castella, et al. Comparing the input, output, and validation maps for several models of land change [J]. Annals of Regional Science,2008, 42(1): 11-47.
[29]Hargrove W, Hoffman F M, Hessburg P F. Mapcurves: A quantitative method for comparing categorical maps[J]. Journal of Geographical Systems, 2006, 8(2):187-208.
[30]Roger White. Pattern based map comparisons[J]. Journal of Geographical Systems, 2006, 8(2):145-164.
[31]Dungan J L. Focusing on feature-based differences in map comparison[J]. Journal of Geographical Systems, 2006, 8(2):131-143.
[32]Couteron P, Barbier N, Gautier D. Textural ordination based fourier spectral decomposition: A method to analyze and compare landscape patterns [J]. Landscape Ecology, 2006, 21(4):555-567.
[33]]Agresti A. Categorical Data Analysis[M]. New York: Wiley-Interscience, 2002.
[34]Rees W G. Comparing the spatial content of thematic maps[J]. International Journal of Remote Sensing,2008, 29(13):3 833-3 844.
[35]Guo Jianming. An Analysis on Scale Transformation in Remote Sensing-Based on Fractal Theory[D]. Xi’an: Northwestern University,2008.[郭建明. 分形理论在遥感影像空间尺度转换中的应用研究[D].西安：西北大学,2008.]
[36]Hagen-Zanker A. Map comparison methods that simultaneously address overlap and structure[J]. Journal of Geographical Systems, 2006, 8(2):165-185.
[37]Hagen-Zanker, Guy Engelen, Jelle Hurkens, et al. Map Comparison Kit 3-User Manual, Pulished by the Research Institute for Knowledge Systems, 2006[EB/OL].http://www.riks.nl/products/Map_Comparison_Kit,2010.
[38]Hagen-Zanker A, Straatman B, Uljee I. Further developments of a fuzzy set map comparison approach[J]. International Journal of Geographical Information Science,2005, 19(7):769-785.
[39]Dou W, Ren Y, Wu Q, et al. Fuzzy kappa for the agreement measure of fuzzy classifications[J]. Neurocomputing,2007, 70(4/6):726-734.
[40]See L M, Fritz S. A method to compare and improve land cover datasets: Application to the GLC-2000 and MODIS land cover products[J].IEEE Transactions on Geoscience and Remote Sensing, 2006, 44:1 740-1 746.
[41]Fritz S, See L. Comparison of land cover maps using fuzzy agreement [J].International Journal of Geographical Information Science, 2005, 19(7):787-807.
[42]Cédric Gaucherel, Samuel Alleaume, Christelle Hély. The comparison map profile method: A strategy for multiscale comparison of quantitative and qualitative images[J]. IEEE Transactions on Geoscience and Remote Sensing,2008, 46(9):2 708-2 719.
[43]Gong Peng, Xu Bing, Liang Song. Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases[J].Science in China(Series C),2006,36(2):184-192.[宫鹏, 徐冰, 梁松. 用遥感和地理信息系统研究传染病时空分布[J]. 中国科学:C辑,2006,36(2): 184-192.]
[44]Hu J, Su Y, Tan B, et al. Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency[J]. Remote Sensing of Environment,2006,107(1/2):334-347.
[45]Weiss M, Baret F, Garrigues S, et al. LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: Validation and comparison with MODIS collection 4 products [J]. Remote Sensing of Environment,2007, 110(3): 317-331.
[46]]Garrigues S, Lacaze R, Baret F, et al. Validation and intercomparison of global Leaf Area Index products derived from remote sensing data [J]. Journal of Geophysical Research,2008, 113,G02028, doi:10.1029/2007JG000635.
[47]Foody G M.Map comparison in GIS [J].Progress in Physical Geography,2007, 31(4):439-445.
[48]He Qing, Lü Daren. The utility of satellite observation to retrieve vegetation status for land surface models towards quantitative description of the land surface vegetation[J].Advances in Earth Science,2008,23(10):1 050-1 060.[何晴,吕达仁.陆面过程中植被的描述及其卫星遥感反演——从定性描述向定量描述的发展[J].地球科学进展，2008，23(10):1 050-1 060.]
[49]Pontius R G, Malizia N R. Effect of Category Aggregation on Map Comparison[C]∥Lecture Notes in Computer Science, 2004:251-268.
[50]Raffaele Pelorosso, Antonio Leone, Lorenzo Boccia. Land cover and land use change in the Italian central Apennines: A comparison of assessment methods [J]. Applied Geography, 2009, 29(1):35-48.
[51]Shunlin Liang. Quantitative Remote Sensing of Land Surfaces [M]. A John Wiley & Sons. Inc.,2004:314-328.
[52]Knyazikhin Y, Martonchik J V, Myneni R B,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data[J].Journal of Geophysical Research,103(D24):32 257-32 275.
[53]Jiménez-Munoz J C, Martínez B, Camacho-de Coca F. Evaluation of Two Operational Algorithms for Retrieving Cover in the Framework of VGT4Africa[R]. EOLAB-Spain, 2006.
[54]]Pontius R G, Christopher D L. Can error explain map differences over time? [J]. Cartography and Geographic Information Science,2006, 33(2): 159-171.
[55]Bo Yanchen, Wang Jinfeng. Assessment on uncertainty in remotely sensed data classification: Progresses, problems and prospects [J]. Advances in Earth Science,2005, 20(11):1 218-1 225.[柏延臣,王劲峰. 遥感数据专题分类不确定性评价研究：进展、问题与展望[J].地球科学进展, 2005,20 (11):1 218-1 225.]
[56]Pontius R G, Marco Millones. Problems and Solutions for Kappa-based Indices of Agreement[C]∥International Conference, June, Mytilene, Lesvos, Greece,2008.
[57]Di Eugenio B,Glass M. The kappa statistic: A second look [J]. Computational Linguistics, 2004, 30(1):95-101.
[58]]Li Xiaowen. Review of the project of quantitative remote sensing of major factors for spatial-temporal heterogeneity on the land surface[J]. Advances in Earth Science, 2006,21(8):771-780.[李小文.地球表面时空多变要素的定量遥感项目综述[J].地球科学进展,2006, 21(8):771-780.]
[59]Han Peng, Gong Jianya, Li Zhilin, et al. Comparing the effect of aggregation methods for remote sensing image[J]. Journal of Remote Sensing,2008,12(6): 964-971.[韩鹏,龚健雅,李志林,等.遥感影像空间尺度上推方法的评价[J].遥感学报,2008,12(6): 964-971.]
[60]Gu Juan, Li Xin, Huang Chunlin. Land cover classification based on time series MODIS NDVI data in Heihe River Basin[J]. Advances in Earth Science, 2010, 25(3):317-326.[顾娟, 李新, 黄春林. 基于时序MODIS NDVI的黑河流域土地覆盖分类研究[J].地球科学进展,2010,25(3):317-326.]
/
| 〈 |
|
〉 |
甘公网安备62010202000687
