2009 Joint Urban Remote Sensing Event最新文献_第8页

A review of range image registration methods with accuracy evaluation 距离图像配准方法及其精度评价

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137473

W. Liying, Song Weidong

{"title":"A review of range image registration methods with accuracy evaluation","authors":"W. Liying, Song Weidong","doi":"10.1109/URS.2009.5137473","DOIUrl":"https://doi.org/10.1109/URS.2009.5137473","url":null,"abstract":"Three-dimensional scanning technology allows the acquisition of a geometric model for real-world surfaces. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different views. Although the motion between these views is usually unknown, it can be computed by means of registration algorithms. In recent years, some methods have been presented: (a) iterative closest point (ICP); (b) Method of Chen; (c) signed distance fields; and (d) genetic algorithms, among others. In this paper, we reviewed the fine Range Image Registration algorithms, and a new evolutionary algorithm which marries simulated annealing with genetic algorithms (GAEA) is introduced to solve this problem. The algorithm avoids the premature convergence problem existed in genetic algorithms, enhances the globe convergence, and improves the convergence velocity. Algorithm is implemented in MATLAB because MATLAB guarantees an easy implementation. Real scanned objects are used to take into account the accuracy of the GAEA. Our experimental results showed that the introduced GAEA provided better solution.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"50 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":"127601555","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

A review of remote sensing applications in urban planning and management in China 遥感在中国城市规划与管理中的应用综述

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137653

Yinghui Xiao, Q. Zhan

引用次数: 22

Monitoring urban subsidence with coherent point target SAR interferometry 相干点目标SAR干涉监测城市沉降

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137645

D. Ge, Yan Wang, Ling Zhang, Yi Wang, Qiong Hu

引用次数: 2

Multispectral remotely sensed imagery segmentation based on first fundamental form 基于第一基本形式的多光谱遥感图像分割

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137666

P. Xiao, Xuezhi Feng, Hui Li

引用次数: 4

Study on the retrieval of MODIS 1- km aerosol optical thickness combining extended dark object method and V5.2 algorithm over Beijing 结合扩展暗物法和V5.2算法反演北京地区MODIS 1- km气溶胶光学厚度的研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137505

Zhe Jiang, Liangfu Chen, L. Su, Chunyan Zhou

引用次数: 0

An automatic interpretation approach for high resolution urban remote sensing image using objects-based boosting model 基于地物提升模型的高分辨率城市遥感影像自动解译方法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137607

Xian Sun, Hui Long, Hongqi Wang

引用次数: 0

Study on the comprehensive management of the lower Yangtze River urban on water quality using MODIS 基于MODIS的长江下游城市水质综合治理研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137564

Xiao-lu Tang, L. Sheng, Xiaobin Jin, Yingkang Zhou

引用次数: 0

Land cover classification of CBERS-02 images based on object-oriented strategy - A case study in Yixing, Jiangsu Province 基于面向对象策略的CBERS-02影像土地覆盖分类——以江苏省宜兴市为例

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137622

Zhou Wei, Y. Tao, Ming-jie Qian, Yuan Chun, Zhi-zhong Li

{"title":"Land cover classification of CBERS-02 images based on object-oriented strategy - A case study in Yixing, Jiangsu Province","authors":"Zhou Wei, Y. Tao, Ming-jie Qian, Yuan Chun, Zhi-zhong Li","doi":"10.1109/URS.2009.5137622","DOIUrl":"https://doi.org/10.1109/URS.2009.5137622","url":null,"abstract":"The recognition and translation of land cover via remote sensing images is the subject of this work. It is known that image information with different scales display distinct spatial structure, so image analysis using a single scale could not meet the heterogeneity and dynamic pattern and process for most remote sensed images. The authors present an object-oriented image analysis method that could create meaningful objects and build a hierarchical level close to surface character using multi-scale segmentation. Different geographical processes could then be represented in corresponding image-object levels. The object-oriented image analysis has realized multi-scale analysis of spatial patterns and process. The extraction of land cover classification based on an object-oriented strategy sets most priority on the multi-scale segmentation of images, the measurement of spectral, geometric and topological characteristics, the interaction between human and computer, and the construction of knowledge base. The authors use China¿Brazil Earth Resources Satellite (CBERS) CCD images taken in August of 2006. These have been geometrically corrected via methods of quadratic polynomial and bilinear interpolation to control the RMS within one pixel, choosing the typical urban building area and abundant land cover of Yixing City of Jiangsu Province (China) as the study area. The work carries out the classification experiment on the study areas using Ecognition software.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"33 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":"131900251","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

Calibrating cellular automata for urban development modelling using principal component analysis 使用主成分分析校准城市发展模型的元胞自动机

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137467

Yongjiu Feng, X. Tong, Miao-long Liu, Z. Han

引用次数: 6

Temporal and spatial variations of urban heat island effect in Beijing using ASTER and TM data 基于ASTER和TM数据的北京城市热岛效应时空变化

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137496

Mingyi Du, Qianwei Wang, G. Cai

{"title":"Temporal and spatial variations of urban heat island effect in Beijing using ASTER and TM data","authors":"Mingyi Du, Qianwei Wang, G. Cai","doi":"10.1109/URS.2009.5137496","DOIUrl":"https://doi.org/10.1109/URS.2009.5137496","url":null,"abstract":"More and more questions were emerged with the development of Beijing's urbanization. One of them is urban heat island (UHI) effect. This paper focuses on the monitoring of urban heat island effect with the temporal and spatial change using ASTER and TM data. Our study area is located in the central urban area of Beijing which mainly the area surrounded by the fifth ring road. 4 ASTER images almost in summer in 2001, 2003, 2004 and 2006 were collected, and 2 TM data also in summer in 2002 and 2005 were collected. In order to calculate the urban heat island intensity, the land surface temperatures were retrieved using an iterative way to compare the temperature difference between the urban and surrounding rural area. Based on the relative temperature method, the UHI intensity was obtained for all of the satellite images. The UHI was divided into normal, weak, strong, very strong, severe and extreme by which the temporal and spatial changes of the UHI effect were compared. Generally speaking, the results indicate that the UHI effect was increased with the development of the urbanization. And the extreme UHI effect was occurred in the southeastern part of the Beijing city where almost of the industrial factories were located. The UHI effect in the old city enclosed by the second ring road was generally weak because of the relatively lager areas of water body and grassland.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"24 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":"132315035","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: 5