2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas最新文献_第5页

Urban road network detection from satellite imagery 基于卫星图像的城市道路网络检测

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220006

M. M. Yagoub

引用次数: 5

Evaluation of remote sensing data for urban planning. Applicative examples by means of multispectral and hyperspectral data 城市规划遥感数据评价。基于多光谱和高光谱数据的应用实例

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219987

G. Abbate, L. Fiumi, C. De Lorenzo, R. Vintilă

{"title":"Evaluation of remote sensing data for urban planning. Applicative examples by means of multispectral and hyperspectral data","authors":"G. Abbate, L. Fiumi, C. De Lorenzo, R. Vintilă","doi":"10.1109/DFUA.2003.1219987","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219987","url":null,"abstract":"Most city planners and managers already recognize that urban areas require careful design/re-design and considered management, based on resource sustainability criteria. Involved aspects range from protection of natural and human resources, wise energy and water management, reduction of air pollution and traffic control, health and well-being of population, safeguard of cultural heritage, comfort standards in residential districts, industrial production, craftsmanship preservation, etc. Advanced instruments for territorial planning/management are required. Decisions should be based on \"proper\" information. Data set has to be accurate, objective, reliable, comprehensive and always up-to-date. Specific data/information have to be extracted out of all available information but some data/information have to be collected specifically for the purpose. This article is part of a wider research effort to carry out GIS (geographical information system) and a DSS (decision support system) for the city of Rome. Thematic maps are derived from accurately geo-coded remotely sensed images and used to draw \"Guidance Tables for Urban Planning.\" A multidisciplinary team carries out coordinated work to this scope. Application examples and results for the city of Rome are illustrated in this paper, based on integration of multispectral data from various satellites (ESA-ERS, Landsat, SPOT) and MIVIS hyperspectral data from aircraft. High complexity has been observed in land cover types, surface composition and morphology, which is directly interrelated with all phenomena taking in urbanized areas (i.e. physical, chemical, social, economic, etc.). Attention has been focused on climate, urban elements, patterns and materials.","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":"130198360","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: 14

Land cover classification of urban and sub-urban areas via fuzzy nearest-mean reclustering of SAR features 基于SAR特征模糊最接近均值重新聚类的城市和城郊土地覆盖分类

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219958

B. Aiazzi, L. Alparone, S. Baronti

{"title":"Land cover classification of urban and sub-urban areas via fuzzy nearest-mean reclustering of SAR features","authors":"B. Aiazzi, L. Alparone, S. Baronti","doi":"10.1109/DFUA.2003.1219958","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219958","url":null,"abstract":"This paper describes a nonparametric algorithm based on fuzzy-reasoning concepts and suitable for land use classification, either supervised or unsupervised, starting from pixel features derived from SAR observations. Pixel vectors constituted by features calculated from the backscattering coefficients) in one or more bands and/or polarizations are clustered. At each iteration step, pixels in the scene are classified based on the minimum attained by a weighted Euclidean distance from the centroid representative of each cluster. Upgrade of centroids is iteratively obtained both from the previously obtained classification map and by thresholding a membership function of pixel vectors to each cluster. Such a function has been derived based on entropy maximization of the resulting clusters. To yield the weighted distances from a pixel vector, its features are weighted by means of progressively refined coefficients, whose calculation still relies on the membership function through a least squares algorithm. Refinements of the feature-dependent weights are introduced to optimize individual classes. Possible \"a priori\" knowledge coming from ground truth data may be used to initialize the procedure, but is not required. Experimental results carried out on SIR-C SAR data of the city of Pavia and its surroundings demonstrate the usefulness of a nonparametric classification to discriminate land use in general, and urban and built-up areas in particular, from SAR observations analogous to those which are routinely available from EnviSat. A training set, even of very small size, may be utilized. However, its knowledge affects initialization only and is unnecessary for the iterative refinement procedure. Pixel-based classification attains almost 70% accuracy without any postprocessing.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"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":"128263363","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

Detection of streets based on KLT using IKONOS multispectral images 基于KLT的IKONOS多光谱图像街道检测

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219984

P. Quintiliano, A. Santa-Rosa

引用次数: 5

GEOAIDA applied to SPOT satellite image interpretation GEOAIDA应用于SPOT卫星图像解译

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219991

S. Muller, R. Feitosa, G.L. Abelha Mota, D. da Costa, V. da Silva, K. Tanisaki

{"title":"GEOAIDA applied to SPOT satellite image interpretation","authors":"S. Muller, R. Feitosa, G.L. Abelha Mota, D. da Costa, V. da Silva, K. Tanisaki","doi":"10.1109/DFUA.2003.1219991","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219991","url":null,"abstract":"This paper investigates the application of a knowledge-based approach, founded on semantic networks, to the automatic land use mapping assisted by low resolution satellite images. Like the visual photo-interpretation, the automatic image interpretation considers scene and sensors knowledge, delivered by an expert photo-interpreter, as well as additional information about the region like the digital elevation model, the position of the emergent rocks, the mapping of the water bodies and the road-network. By this means, the analysis of a scene can be automatically performed, mimicking the reasoning of the photo-interpreter. The implementation of such proposal employed the GEOAIDA [J. Buckner et al., June 2001] system, a flexible environment for image interpretation developed at the University of Hanover, which exploits semantic networks to structure the domain specific knowledge. In the reported experiments, a multispectral SPOT 3 XS image was analysed resulting were evaluated and compared with a manually made reference map of the investigated scene. The automatically obtained results were evaluated and compared with a manually made reference map of the investigated scene. The experimental results demonstrate the potential of a knowledge-based approach for low resolution satellite images interpretation.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"33 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":"132185697","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: 6

Different implementations of the ARSIS concept to fulfill users needs ARSIS概念的不同实现以满足用户需求

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1220008

T. Ranchim, L. Wald

引用次数: 5

SPOT5 THX: a 2.5m fused product SPOT5 THX: 2.5m熔融产物

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219963

C. Latry, H. Vadon, M. Lefevre, H. De Boissezon

{"title":"SPOT5 THX: a 2.5m fused product","authors":"C. Latry, H. Vadon, M. Lefevre, H. De Boissezon","doi":"10.1109/DFUA.2003.1219963","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219963","url":null,"abstract":"SPOT5 was launched on the 4th of May 2002 by an Ariane 4 rocket from Kourou, French Guyana. Like previous SPOTs, SPOT5 is able to acquire both high resolution panchromatic data and low resolution multispectral images (green-red-infrared images), with a 2.2 s time delay between the two acquisitions. The swath remains equal to 60 km but panchromatic resolution has been increased from 10 m to 2.5 m using an optimal quincunx sampling scheme named THR mode, while multispectral sampling was improved from 20 m to 10 m. Like other high resolution remote sensing systems, SPOT5 makes it possible to produce high resolution multispectral images by merging panchromatic and multispectral data. The main difficulty consists in panchromatic/multispectral geometric registration since the misregistration depends on attitude perturbations and local relief, which leads to use automatic correlation. To merge registrated multispectral and panchromatic images, CNES selected a simple but efficient method, based on intensity/hue/saturation transform. This method was successfully compared to a set of other merging techniques through an experiment including quantitative and qualitative assessment by experts. The final false colored product, named THX, is a three band multispectral image covering a 60 km × 60 km area per scene with a 2.5 m sampling interval, which may be converted into a pseudo colored using a matrix transformation. Panchromatic/multispectral fusion finally proves to be of utmost importance for global system optimization, since it allows to generate on ground a product that could not be produced on board, mainly for transmission and data storage limitations.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"122 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":"117093641","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

HRSC-AX - high-resolution orthoimages and digital surface models for urban regions HRSC-AX -城市区域的高分辨率正射影像和数字表面模型

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219992

F. Scholten, K. Gwinner, R. Tauch, O. Boulgakova

引用次数: 14

Remote sensed high resolution images for cartographic updating 用于制图更新的遥感高分辨率图像

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219998

C. Tarantino, A. D' Addabbo, G. Pasquariello, P. Blonda, G. Satalino, L. Castallana

引用次数: 2

Detecting road junctions by artificial neural networks 基于人工神经网络的道路交叉口检测

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219972

Á. Barsi, C. Heipke

引用次数: 19