2009 Joint Urban Remote Sensing Event最新文献_第5页

Information extraction of building height and density based on quick bird image in Kunming, China 基于快速鸟类图像的昆明市建筑高度和密度信息提取

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137614

Jinliang Wang, Xiaohua Wang

{"title":"Information extraction of building height and density based on quick bird image in Kunming, China","authors":"Jinliang Wang, Xiaohua Wang","doi":"10.1109/URS.2009.5137614","DOIUrl":"https://doi.org/10.1109/URS.2009.5137614","url":null,"abstract":"Information extraction of building's height and density is an important aspect of urban remote sensing researches. Based on Quick Bird image classification, information of buildings can be extracted, and the density and landscape pattern of buildings can be analyzed, the height of buildings can be measured by calculating the length of the shadow. The results could provide scientific basis for town planning, urban ecological construction. Kunming is the capital of Yunnan Province, China. It is a key city in southwest China, and national historical and cultural city, an important tourism and trade city of China. For some reason the comprehensive strength of Kunming has obviously lagged behind the eastern coastal cities, even behind a number of western cities of China. A strategic decision called “Building modern and new Kunming” was put forward by the provincial government in May 2003. It aims to optimize and enhance urban functions, reduce population density and building density and relieve traffic pressure, improve the quality of the environment. In order to achieve governmental goals it needs some data like building height and density. On the other hand, there are no many good ways and methods to extract this information, especially in some typical geographic unit. Study on information extraction of building height and density in Kunming will help to do a good planning in core area of Kunming and will help to explore the new methods of remote sensing information extraction.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116668628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Lanslides distribution and geological enviroment in main towns of Three-Gorge China 三峡主要城镇滑坡分布与地质环境

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137725

Zhihua Wang, Xue Qide, Yang Rihong

引用次数: 0

Status and further prospects of object extraction from image and laser data 图像和激光数据中目标提取的现状与展望

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137735

F. Rottensteiner

引用次数: 26

Study on methods of fusion and classification using SPOT5 image of ZhongShan cemetery 中山公墓SPOT5影像融合分类方法研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137700

Chunjing Li, Da Xu

{"title":"Study on methods of fusion and classification using SPOT5 image of ZhongShan cemetery","authors":"Chunjing Li, Da Xu","doi":"10.1109/URS.2009.5137700","DOIUrl":"https://doi.org/10.1109/URS.2009.5137700","url":null,"abstract":"In this paper, efforts were made to merge SPOT5 panchromatic image with multispectral images using six different data fusion algorithms, which were Hue-Intensity-Saturation(HIS), Principle Component Analysis(PCA), Kauth-Thomax (K-T) transform, Linear-weighted transform, Brovey fusion and Wavelet transform fusion. We evaluated the fusion images in both subjective and objective factors. The research showed that the fused images had higher spatial resolution while maintaining the basic spectral contents of the original multispectral images, the visual effects and the accuracy of the classification using fused images were improved greatly. Among the six fusion algorithms, the images using Brovey fusion, Wavelet transform and PCA transform were better, which can be applied in forest resource survey. Four classification methods were introduced to this paper, and the study region was classified into three forest types and other coverage type, which included eleven classes. Through attempting to introduce into decision tree idea, the highest classification accuracy reached to 74.60%, the whole kappa coefficient was 0.6972. It can be seen that the whole classification accuracy and kappa coefficient were improved.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122518443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

The study of atmospheric path radiation for inhomogenous atmosphere on MODIS remote sensing images 基于MODIS遥感影像的非均匀大气路径辐射研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137684

Xiangyong Shi, Xianhua Li, Wei Huang, Cheng-jian Zheng, Qing-zhou Luo

引用次数: 3

Hyperspectral urban remote sensing image smoothing and enhancement using forward-and-backward diffusion 基于正反向扩散的高光谱城市遥感影像平滑与增强

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137508

Yi Wang, R. Niu

引用次数: 11

Study of residents information extraction in SAR image based on texture features 基于纹理特征的SAR图像居民信息提取研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137705

Wenbo Wu, Lijing Bu

引用次数: 1

The mapping and application of city ortho-image with Multi-mode Airborne Digital Camera 多模机载数码相机城市正射影的测绘与应用

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137704

Xue Liu, Haixia He, Qingting Li, Jun-yong Fang, Q. Tong, Lanfen Zheng

引用次数: 0

Automatic road extraction from LIDAR data based on classifier fusion 基于分类器融合的激光雷达数据道路自动提取

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137739

F. Samadzadegan, M. Hahn, B. Bigdeli

引用次数: 46

Monitoring terrain motion in China by means of spaceborne SAR images 利用星载SAR影像监测中国地形运动

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137743

D. Perissin, Teng Wang, F. Novali

引用次数: 5