2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas最新文献

Determination of occlusion areas in high resolution remote sensing data 高分辨率遥感数据中遮挡区域的确定

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219985

K. Gutjahr, H. Raggam

引用次数: 3

Automatic structure detection in a point-cloud of an urban landscape 城市景观点云的自动结构检测

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219959

G. Sithole, G. Vosselman

引用次数: 121

A neural network based approach to detecting urban land cover changes using Landsat TM and IKONOS imagery 基于神经网络的Landsat TM和IKONOS影像城市土地覆盖变化检测方法

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219978

S. Burbridge, Yun Zhang Yun Zhang

{"title":"A neural network based approach to detecting urban land cover changes using Landsat TM and IKONOS imagery","authors":"S. Burbridge, Yun Zhang Yun Zhang","doi":"10.1109/DFUA.2003.1219978","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219978","url":null,"abstract":"Much attention has been drawn to the new applications and opportunities afforded by high-resolution satellite imagery, such as IKONOS and QuickBird. The purpose of this paper is to examine the extent to which high-resolution change detection can be performed using a combination of high and medium-resolution satellite imagery. This combination is important for detecting changes during the time before and after the high-resolution satellite imagery was made available. In particular, the analysis is oriented towards smaller cities and municipalities. Many change detection algorithms and methods have been evaluated. The post-classification change detection algorithm was deemed to be the most suitable technique for this project. Landsat 5 TM and IKONOS MS images of Fredericton, New Brunswick, Canada, were used as source data for the change detection. The results tend to suggest that it is possible to extract reliable change detection information pertaining to small streets, and new rows of residential housing with a medium-resolution benchmark. However, the detection of change in individual houses and small buildings proved to be beyond the capabilities of this procedure.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132266563","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: 4

Urban areas classification tests using high resolution pan-sharpened satellite images 使用高分辨率泛锐化卫星图像的城市地区分类测试

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220002

P. Boccardo, E. Mondino, F. G. Tonolo

{"title":"Urban areas classification tests using high resolution pan-sharpened satellite images","authors":"P. Boccardo, E. Mondino, F. G. Tonolo","doi":"10.1109/DFUA.2003.1220002","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1220002","url":null,"abstract":"The possibility of transferring high spectral contents of medium geometric resolution images obtained from traditional satellite images (TM; ETM+) and newer ones (ASTER, ENVISAT) to high resolution images has been considered to resolve the problems connected to large scale classification. This work suggests an operational approach to this problem. It points out that the aspects related to obtaining good results in an easy, economic and rapid way are as important as the scientific and technological aspects. The suggested method is based on the well known pan-sharpening technique; only a limited amount of experience can however be found in literature concerning its verification for real applications. The authors do not intend proposing new pan-sharpening algorithms in this paper, but rather to demonstrate how its correct use and the customisation of already known techniques (mainly used for aesthetic purposes) can produce interesting scientific results and can also solve some practical problems such as the management of large size data. In what follows that following is illustrated: the techniques that were adopted to generate pan-sharpened synthetic bands; some radiometric verifications that were performed on Landsat 5 TM are shown as are the results of elaborations on QuickBird images; some results of LVQ neural classifications that were carried out on 4 bands of a QuickBird image in an urban area generated with the previously described technique. A preliminary qualitative analysis has shown how a classical pixel-based classification approach, such as the one that is here proposed, is not sufficient to generate suitable thematic images of the correct discrimination of urban environments.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128888818","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: 9

Monitoring urban sprawl and its trends with EO data. UrbEx, a prototype national service from a WWF-ESA joint effort 利用EO数据监测城市扩张及其趋势。UrbEx是世界自然基金会和欧空局共同努力的国家服务原型

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219997

P. Castracane, F. Iavarone, S. Mica, E. Sottile, C. Vignola, O. Arino, M. Catakdi, D. Fernández-Prieto, G. Guidotti, A. Masullo, I. Pratesi

{"title":"Monitoring urban sprawl and its trends with EO data. UrbEx, a prototype national service from a WWF-ESA joint effort","authors":"P. Castracane, F. Iavarone, S. Mica, E. Sottile, C. Vignola, O. Arino, M. Catakdi, D. Fernández-Prieto, G. Guidotti, A. Masullo, I. Pratesi","doi":"10.1109/DFUA.2003.1219997","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219997","url":null,"abstract":"This paper reports the results of UrbEx (urban expansion monitoring) project of the European Space Agency (ESA) carried out in collaboration with the Word Wildlife Fund (WWF) as end-user. The project, which has been carried out by the Italian company advanced computer system (ACS), was aimed at developing a user-oriented information service for monitoring urban expansion at national scale. Such a service was tailored to the requirements of the user, WWF, for supporting the conservation activities of this international nongovernmental organization. From a methodological viewpoint, the system was based on a novel data fusion approach to land-cover classification. In particular, both Landsat and 35-days interferometric ERS images where used to achieve an accurate detection of the urban tissue over the whole Italian coastal area at two different times, 1995 and 2000. The final results validated by WWF demonstrate the capabilities of EO technology to provide reliable, synoptic and continuous information on the urban expansion at national, regional and even global scale.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114741577","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: 13

Fusion of aerial and satellite imagery over the city of Venezia 威尼斯市上空的航空和卫星图像的融合

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219990

M. Gianinetto, M. Scaioni

引用次数: 10

TerraSAR-X: a new perspective for scientific use of high resolution spaceborne SAR data TerraSAR-X:高分辨率星载SAR数据科学应用的新视角

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219947

A. Roth

引用次数: 75

Urban change detection in the Helsinki metropolitan region using Radarsat-1 fine beam SAR images 利用Radarsat-1精细波束SAR图像探测赫尔辛基大都市区的城市变化

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220003

M. Karjalainen, J. Hyyppa, Y. Devillairs

引用次数: 8

Flood monitoring in urban areas: statistical vs. neurofuzzy approach 城市地区的洪水监测:统计与神经模糊方法

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219989

T. Pellizzeri, P. Gamba, P. Lombardo, F. Dell' Acqua, A. Tortora

引用次数: 3

Texture analysis and classification of SAR images of urban areas 城市SAR图像的纹理分析与分类

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220000

R. Dekker

引用次数: 8