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

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Knn density-based clustering for high dimensional multispectral images 基于Knn密度的高维多光谱图像聚类
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219976
T. Tran, R. Wehrens, L. Buydens
{"title":"Knn density-based clustering for high dimensional multispectral images","authors":"T. Tran, R. Wehrens, L. Buydens","doi":"10.1109/DFUA.2003.1219976","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219976","url":null,"abstract":"High resolution and high dimension satellite images cause problems for clustering methods due to clusters of different sizes, shapes and densities. The most common clustering methods, e.g. K-means and ISODATA, do not work well for such kinds of datasets. In this work, density estimation techniques and density-based clustering methods are exploited. Density-based clustering is well known in data mining to classify a data set based on its density parameters, where lower density areas separate high-density areas, although it can only work with a simple data set in which cluster densities are not very different. Out contribution is to propose the k nearest neighbor (knn) density-based rule for high dimensional dataset and to develop a new knn density-based clustering (KNNCLUST) for such complex dataset. KNNCLUST is stable, clear and easy to understand and implement. The number of clusters is automatically determined. These properties are illustrated by the segmentation of a multispectral image of a floodplain in the Netherlands.","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":"132814270","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: 26
Simulation and analysis of fine resolution SAR images in urban areas 城市精细分辨率SAR图像的仿真与分析
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219973
F. Dell’acqua, P. Gamba, A. Iodice, G. Lisini, D. Riccio, G. Ruello
{"title":"Simulation and analysis of fine resolution SAR images in urban areas","authors":"F. Dell’acqua, P. Gamba, A. Iodice, G. Lisini, D. Riccio, G. Ruello","doi":"10.1109/DFUA.2003.1219973","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219973","url":null,"abstract":"This paper provides a preliminary discussion on the simulation and the analysis of fine resolution SAR data in urban areas. It presents a very interesting data set obtained by means of a precise SAR simulator and some road extraction results on the same data set. Despite some possible improvements, the research shows the huge potentiality of SAR data for urban area mapping and monitoring.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"41 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":"115386562","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
Land cover change in Puget Sound urbanizing watersheds 普吉特海湾城市化流域的土地覆盖变化
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219952
M. Alberti, S. Coe, R. Weeks
{"title":"Land cover change in Puget Sound urbanizing watersheds","authors":"M. Alberti, S. Coe, R. Weeks","doi":"10.1109/DFUA.2003.1219952","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219952","url":null,"abstract":"Monitoring landscape change is critical to better understand urbanization impacts on ecosystems. Remote sensing and geo-referenced socio-economic data provide powerful tools for documenting changes in the landscape and developing strategies to minimize the effects of urban development on natural habitats. The interpretation and analysis of urban land cover change from remotely sensed images however present unique challenges due to the spatial and spectral heterogeneity of the urban landscape. Combining remote sensed data with socio-economic data sources adds complexity to the task of detecting and interpreting change. In this paper we developed a methodology to interpret and assess land cover change between 1991 and 1999 in Puget Sound Water Resource Inventory Areas (WRIA), Washington, USA. We use US Census data from 1990 and 2000 to infer relationships between population growth and land cover change. Integrating these sources of data proved useful to assess the relationships between population and land cover change.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"156 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":"116181928","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: 0
Discrimination between roofing materials and streets within urban areas based on hyperspectral, shape, and context information 基于高光谱、形状和环境信息的城市区域内屋顶材料和街道的区分
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219986
M. Mueller, K. Segl, H. Kaufmann
{"title":"Discrimination between roofing materials and streets within urban areas based on hyperspectral, shape, and context information","authors":"M. Mueller, K. Segl, H. Kaufmann","doi":"10.1109/DFUA.2003.1219986","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219986","url":null,"abstract":"In the context of automating the process of urban mapping, hyperspectral imagery allows a detailed differentiation of characteristic surface cover types. Due to the spectral similarity of surface materials used for different surface cover types (e.g. roofing bitumen and asphalt), the spectral information alone cannot solve the ambiguities in the class decision process. Additional knowledge, such as context information, is necessary to improve the mapping of urban surface cover types. In this paper, an existing approach for the combination of hyperspectral data and shape knowledge is extended and improved for further automation of the image analysis. The technique is tested on hyperspectral data of the HyMap sensor. The results demonstrate the potential of this method.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"27 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":"116186908","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
Urban digital map updating from satellite high resolution images using GIS data as a priori knowledge 利用GIS数据作为先验知识从卫星高分辨率图像更新城市数字地图
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220005
T. Bailloeul, J. Duan, V. Prinet, B. Serra
{"title":"Urban digital map updating from satellite high resolution images using GIS data as a priori knowledge","authors":"T. Bailloeul, J. Duan, V. Prinet, B. Serra","doi":"10.1109/DFUA.2003.1220005","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1220005","url":null,"abstract":"In this paper, we propose two methods aiming at updating geographic information system (GIS) urban maps using satellite high-resolution remote sensed images. Both methods are based on the input of a priori knowledge provided by GIS data, and a digital surface model (DSM). This article introduces theoretical aspects of our methods.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"125 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":"122624179","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: 8
Comparing RADARSAT-1 and IKONOS satellite images for urban features detection 比较RADARSAT-1和IKONOS卫星图像的城市特征检测
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220009
D. Weydahl, F. Bretar, P. Bjerke
{"title":"Comparing RADARSAT-1 and IKONOS satellite images for urban features detection","authors":"D. Weydahl, F. Bretar, P. Bjerke","doi":"10.1109/DFUA.2003.1220009","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1220009","url":null,"abstract":"In this paper, a comparison of the visual appearance and detection of different man-made objects in an urban area in Norway is presented using IKONOS and RADARSAT-1 images. Results show that RADARSAT-1 fine mode images add very limited information to the IKONOS panchromatic image for many mapping applications. One explanation for the seemingly lack of information from the synthetic aperture radar (SAR) data, is that the IKONOS sensor image the Earth ground with a resolution of 1 m, while the RADARSAT-1 fine mode only has 9 m resolution. Despite these matters, it is shown that RADARSAT-1 may uniquely detect certain objects or structures and thereby give additional knowledge to the interpretation of an IKONOS image. Multi-temporal RADARSAT-1 acquisitions can also be used to detect man-made changes at times when weather conditions hamper optical image acquisitions. It is expected that new SAR satellites with resolutions down towards 1 m, work much better as a complementary, all-weather information source to the optical ones.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"96 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":"123191297","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: 7
An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas 基于mtf的城市超高分辨率多光谱图像泛锐化光谱失真最小化模型
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219964
B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, M. Selva
{"title":"An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas","authors":"B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, M. Selva","doi":"10.1109/DFUA.2003.1219964","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219964","url":null,"abstract":"This work presents a viable solution to the problem of merging multispectral image with an arbitrary number of spectral bands with a higher-resolution panchromatic observation. The proposed method relies on the generalized Laplacian pyramid, which is a multiscale oversampled structure in which spatial details are mapped on different scales. The goal is to selectively perform spatial-frequencies spectrum substitution from an image to another with the constraint of thoroughly retaining the spectral information of the coarser data. To this end, a vector injection model has been defined: at each pixel, the detail vector to be added is always parallel to the approximation. Furthermore, its components are scaled by factors measuring the ratio of local gains between the multispectral and panchromatic data. Such a model is calculated at a coarser resolution where both types of data are available extended to the finer resolution by embedding the modulation transfer functions of the multispectral scanner into the multiresolution analysis. In this way, the interband structure model can be extended to the higher resolution without the drawback of the poor enhancement occurring when the model assumes MTFs close to be ideal. Results are presented and discussed on very high resolution QuickBird data of an urban area.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"31 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":"127713234","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: 126
Multi-platform permanent scatterers analysis: first results 多平台永久散射体分析:初步结果
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219956
C. Colesanti, A. Ferretti, R. Locatelli, G. Savio
{"title":"Multi-platform permanent scatterers analysis: first results","authors":"C. Colesanti, A. Ferretti, R. Locatelli, G. Savio","doi":"10.1109/DFUA.2003.1219956","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219956","url":null,"abstract":"The PS technique is an advanced tool for the joint exploitation of series of interferometric SAR data for measuring millimetric ground deformation effects on privileged radar targets. In this paper we briefly discuss some preliminary results obtained in the first attempt to apply the permanent scatterers (PS) technique on a RADARSAT data set.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"27 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":"129720630","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
Urban road network extraction from high-resolution multispectral data 基于高分辨率多光谱数据的城市道路网络提取
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219975
A. Shackelford, Curt, Davis
{"title":"Urban road network extraction from high-resolution multispectral data","authors":"A. Shackelford, Curt, Davis","doi":"10.1109/DFUA.2003.1219975","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219975","url":null,"abstract":"This paper presents a technique for urban road network extraction from high-resolution multispectral satellite imagery. The imagery is first classified using a pixel-based fuzzy classifier and the urban land cover classification are then further refined using an object-based classification approach. The road network extraction technique iteratively identifies line segments in the urban land cover classification and then grows these line segments in the urban land cover classification and then grows these line segments to track roads through occluded areas and around corners. This result of this technique is compared to the road network obtained by calculating the morphological skeleton of the classification image and found to have a significant increase in correctness, however there is a decrease in the completeness measure.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"49 43 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":"125403390","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: 19
Artificial neural networks in the improvement of spatial resolution of thermal infrared data for improved landuse classification 人工神经网络在提高热红外数据空间分辨率中的应用，改进土地利用分类
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219979
C. Venkateshwarlu, K. Gopal Rao, A. Prakash
{"title":"Artificial neural networks in the improvement of spatial resolution of thermal infrared data for improved landuse classification","authors":"C. Venkateshwarlu, K. Gopal Rao, A. Prakash","doi":"10.1109/DFUA.2003.1219979","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219979","url":null,"abstract":"The spatial resolution of remotely sensed (RS) data in the thermal infrared (TIR) range is very coarse compared to the very fine resolutions in the visible (VIS) and near infrared (NIR) ranges. Despite, the information on emissive properties of TIR data that is complementary to the reflective properties of the VIS and NIR data, the application of TIR data has been rather restricted, mainly due to its coarse spatial resolution. Artificial neural networks (ANN) have proved to be far superior [Govindaraju, R. S. and Rao, A. R., 2000][Heermann, P. D. and Khazenei, K., 1992] to the statistical methods in many applications. Studies have been carried out on the applicability of ANN in the improvement of effective spatial resolution of Landsat-5, TM band 6 (TIR) daytime and nighttime data. The present paper reports the methodology developed and the results of the studies. The results are compared with those of a statistical approach.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"22 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":"127346930","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
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