收稿日期: 2004-11-02
修回日期: 2005-07-10
网络出版日期: 2006-01-15
基金资助
中国博士后科学基金项目“BNs并行计算模型及其支持下的遥感数据智能分析研究”（编号：2005037276）和863-708项目（编号：2003AA783060）资助.
Research on Technology of Environmental Quality Estimation for Urban Flat by Higher Resolution Remote Sensing Imagery
Received date: 2004-11-02
Revised date: 2005-07-10
Online published: 2006-01-15
高分辨率遥感影像由于其较高的空间分辨率使得在居住单元的尺度上进行城市环境质量的遥感评价成为可能。所研究的评价方法在选取传统的环境评价指标如绿地景观结构参数、建筑容积率参数基础上，提出了平均可视面积、影像地物交替复杂度以及山体、水体、绿地、道路等外界地物影响力等指标，进一步研究了相关指标的分析方法。最后采用模糊评判的方法得到各参数指标的评判矩阵，进一步获得各居住单元综合指标评价的最终结果。使用厦门市QuickBird遥感影像进行了相关评价方法的实验，对8个典型居住单元的环境评价实验研究表明，利用高分辨率影像进行城市人居环境质量评价是一种成本较低、简便可行的方法。
程承旗 , 李启青 , 郭仕德 , 沙志友 . 城市居住单元环境质量的高分辨率遥感评价方法研究[J]. 地球科学进展, 2006 , 21(1) : 24 -30 . DOI: 10.11867/j.issn.1001-8166.2006.01.0024
Higher resolution images acquired by remote sensing satellites provide the possibility of remote sensing estimation for urban environmental quality in the scale of flat. The technology is studied in the paper. Based on the selection of the environmental estimation index, such as vegetation sight framework parameter and building capability, the index such as the average view area, the alternation complication degree of objects in image and force by outside objects including mountain, water, vegetation, road, etc. and related analysis method are studied. Finally, the blur judge method is utilized to get the distinguished matrix of each parameter index, then the final result is obtained for overall index estimation of each flat. In this paper, the QuickBird remote sensing imagery of Xiamen city is used to experiment the related estimation method. The environmental estimation experiment by 8 representative flats shows the method, which use satellite higher resolution imagery to estimate environmental quality for flat is cost-effective and easy to use.
Key words： Finer resolution; Remote sensing; Flat; Environmental quality; Overall estimation.
[1] Jin Lan. Environmental Ecology[M]. Beijing:Higher Education Press,1998.[金岚. 环境生态学[M]. 北京:高等教育出版社,1998.]
[2] Wu Liangyong. About the sciences of human settlements[J]. Urban Studies, 1996,(1):45.[吴良镛. 关于人居环境科学[J].城市发展研究,1996,(1):45.]
[3] Wu Liangyong. Human settlements and the sciences of human settlements[J]. City Planning,1997,(3):41.[吴良镛.人居与人居环境科学[J].城市规划,1997,(3):41.]
[4] Wu Liangyong. The Wadev’s learned idea and the construction of habitat environmental science[J]. City Planning, 1996,(1):35-41.[吴良镛. 芒福德的学术思想及其对人居环境学建设的启示[J].城市规划,1996,(1):35-41.]
[5] He Xinghua. The binary characteristic of Chinese habitat environment[J]. City Planning, 1998,(2):38-48.[何兴华.中国人居环境的二元特性[J].城市规划,1998,(2):38-48.]
[6] Meng Qinglin. The research on the just tuning theory supporting development of habitat[J]. Urban Environment & Urban Ecology, 1997,10(2):19-24.[孟庆林. 支持人居环境健康发展的自然调和理论研究[J].城市环境与城市生态,1997,10(2):19-24.]
[7] Li Xueming,Jiang Bin,Yang Bo. Habitat:A new problem in geography research[J]. Geography and Territorial Research,2000,16 (2):75-78.[李雪铭,姜斌,杨波.人居环境:地理学研究面临的一个新课题[J]. 地理学与国土研究,2000,16 (2):75-78.]
[8] Chen Fu. The evaluation of urban residential quality and satisfaction[J]. Cultural Geography,2000,15(4):20-23. [陈浮.城市人居环境与满意度评价研究[J].人文地理,2000,15(4):20-23.]
[9] Long Tengrui,Zhang Zhi. Study on system of synthetic assessment of inhabitation areas[J]. Journal of Chongqin Jianzhu University,2002,24(6):35-38.[龙腾锐,张智. 居住区环境质量综合评价体系研究[J].重庆建筑大学学报,2002,24(6):35-38.]
[10] Wu Shuoxian,Li Jinpeng,Huo Yun,et al. Overall evaluation of the living and environmental quality in residential area[J]. Journal of South China University of Technology,2000,28(5):7-12.[吴硕贤,李劲鹏,霍云,等.居住区生活与环境质量评价[J].华南理工大学学报,2000,28(5):7-12.]
[11] Tashpolast Tiyip. On accuracy of the land cover classification in case of using fractal feature[J]. Remote Sensing of Environmental,1994,9(2):150-160.[塔西浦拉提. 利用分形特征量提高土地覆盖分类精度的研究[J].环境遥感,1994,9(2):150-160.]
[12] Wang Shaojuan. The analysis for potential in urban and engineering application of high resolution satellite remote sensing imagery[J]. Geotechnical Investigation & Surveying,2002,(1):52-55.[王少娟. 高分辨率卫星遥感影像在城市和工程中的应用潜力分析[J].工程勘察 ,2002,(1):52-55.]
[13] Wu Qiyan. The Theory and Practice on Human Settlements Differentiation Research for Megapolis[M]. Beijing:Science Press,2001.[吴启焰.大城市居住空间分异研究的理论与实践[M].北京:科学出版社,2001.]
[14] Xu Fuliu. Multi-step fuzzy cluster analysis for comprehensive assessment of urban environmental quality[J]. Urban Environment & Urban Ecology, 2001,14 (2):13-15.[徐福留.城市环境质量多级模糊综合评价[J].城市环境与城市生态,2001,14 (2):13-15.]
[15] Zha Yong. A study on remote sensing methods in estimating urban built-up volume ratio based on aerial photographs[J]. Advance in Geography Science, 2001,20(4):378-383.[查勇. 测定城市建筑容积率的遥感方法研究[J].地理科学进展,2001,20 (4):378-383.]
[16] Zha Yong,Liu Yansui,Jiang Jianjun. A prospect on thema in technical points about determ ination of urban floor area ratio[J]. Cultural Geography,1998,13(1):13-16.[查勇,刘彦随,蒋建军.城市容积率确定的技术要点透视[J].人文地理,1998,13(1):13-16.]
[17] C C Q Ma T. Linear features of landscape automatic recognition in high-resolution satellite images[J]. Journal of Remote Sensing,2003,7(1):26-30.
[18] Fraser C S, Baltsavias E, Gruen A. processing of IKONOS imagery for submetre 3D positioning and building extraction[J]. ISPRS Journal of Photogrammetry & Remote Sensing,2002,56(3):177-194.
[19] Graeme G Wilkinson. Recent Developments in Remote Sensing Technology and the Importance of Computer Vision Analysis Techniques[A]. In: Kanellopoulos I, Wilkinson G G, Moons T, eds. Machine Vision and Advanced Image Processing in Remote Sensing[C]. Berlin: Springer,1999:5-11.
[20] Haralick R. Statistical and structural approaches to texture[J]. Proceedings of the IEEE,1979,67(5):786-804.
[21] Kanellopoulos I, Wilkinson G G, Moons T, et al. Machine Vision and Advanced Image Processing in Remote Sensing[M]. Berlin: Springer, 1999:304-316.
[22] Kienast F. Analysis of historic landscape patterns with a Geographical Information System a methodological outline[J]. Landscape Ecology,1993: 8(2):103-118.
[23] Tuomas H, Mikael H, Susanna R, et al. Forestry of High Resolution Imagery[A].In: Kanellopoulos I, Wilkinson G G, Moons T, eds. Machine Vision and Advanced Image Processing in Remote Sensing[C]. Berlin: Springer, 1999:112-120.
[24] Peter J M, Alasdair J E. Mapping marine environments with IKONOS imagery: Enhanced spatial resolution can deliver greater thematic accuracy[J]. Remote Sensing of Environment,2002,82(2/3):248-257.
[25] Theo M, David F, Luc V G. A 3-Dimensional multi-view based strategy for remotely sensed image interpretation [A]. In: Kanellopoulos I, Wilkinson G G, Moons T, eds. Machine Vision and Advanced Image Processing in Remote Sensing[C].Berlin: Springer, 1999:148-159.
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