2007 IEEE International Geoscience and Remote Sensing Symposium最新文献

Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles 基于支持向量机和形态轮廓的高光谱数据的光谱和空间分类

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-11-21 DOI: 10.1109/TGRS.2008.922034

M. Fauvel, J. Benediktsson, J. Chanussot, J. R. Sveinsson

{"title":"Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles","authors":"M. Fauvel, J. Benediktsson, J. Chanussot, J. R. Sveinsson","doi":"10.1109/TGRS.2008.922034","DOIUrl":"https://doi.org/10.1109/TGRS.2008.922034","url":null,"abstract":"Classification of hyperspectral data with high spatial resolution from urban areas is discussed. An approach has been proposed which is based on using several principal components from the hyperspectral data and build morphological profiles. These profiles can be used all together in one extended morphological profile. A shortcoming of the approach is that it is primarily designed for classification of urban structures and it does not fully utilize the spectral information in the data. Similarly, a pixel-wise classification solely based on the spectral content can be performed, but it lacks information on the structure of the features in the image. An extension is proposed in this paper in order to overcome these dual problems. The proposed method is based on the data fusion of the morphological information and the original hyperspectral data: the two vectors of attributes are concatenated. After a reduction of the dimensionality using Decision Boundary Feature Extraction, the final classification is achieved using a Support Vector Machines classifier. The proposed approach is tested in experiments on ROSIS data from urban areas. Significant improvements are achieved in terms of accuracies when compared to results of approaches based on the use of morphological profiles based on PCs only and conventional spectral classification.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133772331","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: 1081

An ultra-lightweight L-band digital Lobe-Differencing Correlation Radiometer (LDCR) for airborne UAV SSS mapping 一种用于机载无人机SSS制图的超轻型l波段数字叶差相关辐射计(LDCR)

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4422992

E. M. McIntyre, A. Gasiewski

引用次数: 9

Urban subsidence observed by InSAR in Tianjin Region 天津地区城市沉降InSAR观测

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4423242

Zhang Shiyu, Li Tao, Liu Jingnan, X. Ye, Jiang Yanxiang, Lu Xu

引用次数: 5

DEM estimation from multi-Baseline ENVISAT- ASAR interferometric data through maximum likelihood techniques 利用最大似然技术从多基线ENVISAT- ASAR干涉数据估计DEM

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4423860

F. Meglio, Gilda Schirinzi

引用次数: 0

Simultaneous X-band radar and Ka-band radiometer observations of the ocean x波段雷达和ka波段辐射计同时观测海洋

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4423600

V. Irisov, W. Plant

引用次数: 1

Estimation of tree crown number in a quickbird image using an image processing method. 用图像处理方法估计快速鸟图像中的树冠数。

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4423816

Priscila B. Gomes, M. Ferreira

引用次数: 1

Monitoring temperate glaciers by high resolution Pol-InSAR data: First analysis of Argentière E-SAR acquisitions and in-situ measurements 用高分辨率Pol-InSAR数据监测温带冰川:首次分析argenti<e:1> E-SAR获取和原位测量

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4422760

T. Landes, M. Gay, E. Trouvé, J. Nicolas, L. Bombrun, Gabriel Vasile, I. Hajnsek

引用次数: 19

Improving interferometric radar measurement accuracy using local meteorological data 利用当地气象资料提高干涉雷达测量精度

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4423861

R. Norland

引用次数: 7

A velocity vector estimation algorithm tested on simulated SAR raw data 一种速度矢量估计算法在模拟SAR原始数据上进行了测试

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4422856

A. Radius, D. Solimini

引用次数: 1

Simulation of atmospheric radiation transfer for high-resolution thermal infrared imaging 用于高分辨率热红外成像的大气辐射传输模拟

2007 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2007-07-23 DOI: 10.1109/IGARSS.2007.4422907

Yang Gui-jun, Liu Qin-huo, Liu Qiang, Weng Jian-guang, Cheng Jie, Guo Xing-fa

{"title":"Simulation of atmospheric radiation transfer for high-resolution thermal infrared imaging","authors":"Yang Gui-jun, Liu Qin-huo, Liu Qiang, Weng Jian-guang, Cheng Jie, Guo Xing-fa","doi":"10.1109/IGARSS.2007.4422907","DOIUrl":"https://doi.org/10.1109/IGARSS.2007.4422907","url":null,"abstract":"The consistent end-to-end simulation of them is an important task, sometimes the only way for the adaptation and optimisation of a sensor and its observation conditions, the choice and test of algorithms for data processing, error estimation and the evaluation of the capabilities of the whole sensor system. It is essential to accomplish simulation of atmospheric radiative transfer, if a complete imaging simulating system is to be expected. Based on given resolution and directional capabilities of the instrument, and combination with land surface temperature and emissivity data obtained from airborne imagery, TOA (top of atmosphere) radiance images have been simulated pixel by pixel coupling the atmospheric radiative transfer analytic model extended from MODTRAN4 and the atmospheric adjacency effect model derived from point spread function (for atmospheric directional and adjacency effect). In this way, all major scattering and emission contribution of atmosphere were considered. Through analysing results, it indicates that analytic model and adjacency effect model is more adequate for thermal infrared imaging simulation than others existing models.","PeriodicalId":284711,"journal":{"name":"2007 IEEE International Geoscience and Remote Sensing Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116913100","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