2009 Joint Urban Remote Sensing Event最新文献_第6页

Automatic urban remote sensing images registration based on road networks 基于路网的城市遥感图像自动配准

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137685

Xirong Guo, Wenyi Zhang, G. Ma

引用次数: 6

On-flight calibration and atmospheric correction over city water for wide-field -of-view Hypersepctral Imager 大视场高间隔成像仪在城市上空的飞行标定和大气校正

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137556

Bing Zhang, Hao Zhang, Junsheng Li

{"title":"On-flight calibration and atmospheric correction over city water for wide-field -of-view Hypersepctral Imager","authors":"Bing Zhang, Hao Zhang, Junsheng Li","doi":"10.1109/URS.2009.5137556","DOIUrl":"https://doi.org/10.1109/URS.2009.5137556","url":null,"abstract":"Radioactive calibration and atmospheric correction are two important steps when encountering a new sensor and its remote sensing images. Wide field-of-view Hyperspectral Imager(WHI) is an airborne imaging spectrometer with a 5nm spectral resolution, whose spectrum range is from 406nm to 985nm. For evaluating its applications in city water monitoring, a flight was carried out in Taihu in January 9, 2006, which was the third largest freshwater lake. Meanwhile, the in-situ measured spectra by ASD and measured atmosphere parameters by sun photometer CE318 were also obtained. It is an efficient way to monitoring change of the water-quality by airborne or satellite remote sensing data. To accurately retrieve water-quality parameters, two crucial recalibration processes were done for WHI: 1) Field recalibration was accomplished by comparing the two calibration targets' modeling radiance at sensor level and their lab calibrated radiance ; 2) Vicarious calibration was done by comparing the atmosphere corrected remote sensing reflectance (Rrs) with the in-situ measured Rrs of a synchronous station. Then, atmosphere correction Rrs was performed by 6SV1 model combined with Motran4 to retrieve Rrs of Taihu and the accuracy was no more than 5% from 532nm to 750nm validated by other synchronous stations.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"429 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995863","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: 1

Improvement of MODIS 8-day LAI/FPAR product with temporal filters to generate high quality time-series product 用时间滤波器改进MODIS 8天LAI/FPAR产品，生成高质量的时间序列产品

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137494

Huifang Zhang, Runhe Shi, H. Zhong, P. Qu, Juan Sun, Wenpeng Lin, Su Li

{"title":"Improvement of MODIS 8-day LAI/FPAR product with temporal filters to generate high quality time-series product","authors":"Huifang Zhang, Runhe Shi, H. Zhong, P. Qu, Juan Sun, Wenpeng Lin, Su Li","doi":"10.1109/URS.2009.5137494","DOIUrl":"https://doi.org/10.1109/URS.2009.5137494","url":null,"abstract":"Numerous studies have reported that the time-series terrestrial parameters such as the Normalized Difference Vegetation Index (NDVI), Leaf Area of Index (LAI), Fraction of Absorbed Photosynthetic Active Radiation (FPAR), derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, have played significant roles in researching the global environment, terrestrial ecosystems and related ecological researches. However, the remotely sensed signals are interfered severely by atmospheric conditions especially clouds and such noises exists in the time-series products as well. Therefore, to obtain a high quality time-series of terrestrial parameter is a necessary step before further studies. At present several methods have been applied to reduce the noise to construct a fine time-series of NDVI, but few studies concerning the other key terrestrial parameters, such as LAI, FPAR etc. In this paper, after comparing general methods in literatures, we designed a new method based on the Savitzky-Golay filter, which was applied to improve the quality of MODIS 8-Day LAI/FPAR Product to generate time-series of LAI and FPAR with high quality. Our validation results indicate that more smooth and realistic time-series curves of LAI/FPAR can be obtained by using this new method, which exemplify the dynamic change of forests, crop or plants and key input parameters in modeling the complex land surface processing.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"41 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":"115224306","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: 2

Monitoring water quality of urban water supply sources using optical remote sensing 利用光学遥感技术监测城市供水水源水质

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137559

Bing Zhang, Q. Shen, Junsheng Li

{"title":"Monitoring water quality of urban water supply sources using optical remote sensing","authors":"Bing Zhang, Q. Shen, Junsheng Li","doi":"10.1109/URS.2009.5137559","DOIUrl":"https://doi.org/10.1109/URS.2009.5137559","url":null,"abstract":"Remote sensing monitors water quality information with wide coverage to monitor spatial change of water bodies easily. Landsat TM has high spatial resolution of 30 meters to monitor details of water bodies. MODIS has its advantage with frequent return visits to monitor algae blooms. Lake Taihu is the third largest freshwater lake in China with cyanophytes blooms annually, which dominates the water sources of Wuxi and Suzhou. The pollution of Taihu Lake has become more and more serious, which leads to contaminated drinking water in Wuxi and Suzhou city. This paper applies 250-meter MODIS level 1B images and Landsat-5 TM images to detect algae blooms, also uses a simplified bio-optical model to estimate concentration of chlorophyll-a in Lake Taihu. The results showed the distribution of algae blooms and chlorophyll a concentration in Lake Taihu at 29th July to 1st August of 2006. The algae blooms often appear at the north and the west of Lake Taihu, which agree with the actual situation. The chlorophyll-a concentrations estimated from MODIS and TM imagery are in appropriate value range in Lake Taihu in summer. The relative errors between in-situ measured and estimated chlorophyll-a concentrations are less than 30%. This study could be helpful to monitor water quality with remote sensing imagery just having red and near-infrared channels such as 250-meter MODIS imagery.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"2 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":"114291432","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

A modified method for relevance feedback in high-resolution SAR image retrieval system based on SVM 基于支持向量机的高分辨率SAR图像检索系统相关反馈改进方法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137523

Chen Rong, Yongfeng Cao, Sun Hong

引用次数: 0

Research of urban space expansion based on GIS and CA Model: — A case study in Wuxi New District 基于GIS和CA模型的城市空间扩展研究——以无锡新区为例

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137545

Wei Hu, Manchun Li, Zhenjie Chen, Lu Tan, Dong Cai

引用次数: 0

Mobile mapping system and computing methods for modelling of road environment 道路环境建模的移动测绘系统及计算方法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137703

A. Kukko, A. Jaakkola, Matti Lehtomaki, H. Kaartinen, Yuwei Chen

引用次数: 44

A target detection algorithm for urban areas using HSRH imagery 基于HSRH图像的城市目标检测算法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137636

Du Bo, Zhang Liangpei, Li Pingxiang, Zhong Yanfei

引用次数: 0

Accelerated segmentation approach with CUDA for high spatial resolution remotely sensed imagery based on improved Mean Shift 基于改进Mean Shift的高空间分辨率遥感图像CUDA加速分割方法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137568

Xiaogu Sun, Manchun Li, Yong-xue Liu, Lu Tan, Wei Liu

引用次数: 12

Boosting cross-modality image registration 增强跨模态图像配准

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137482

Adrian Barbu, R. Ionasec

{"title":"Boosting cross-modality image registration","authors":"Adrian Barbu, R. Ionasec","doi":"10.1109/URS.2009.5137482","DOIUrl":"https://doi.org/10.1109/URS.2009.5137482","url":null,"abstract":"Cross-modality image registration is a difficult problem because the same structures have different intensity patterns in the two modalities, making straightforward methods based on SSD or cross-correlation not applicable. This paper presents a learning based approach to cross-modality image registration. First, it describes a method to map the image registration problem into a problem of binary classification. Then, it presents a method to select a number of image registration algorithms from a larger pool and combine them by AdaBoost into a boosted algorithm that is more accurate than any of the algorithms in the pool. Finally, it presents a method named virtual boosting that allows to directly obtain the result of the boosted algorithm without performing any parameter search. In our cross-modality image registration application, the algorithm pool consists of many feature-based registration algorithms with different configurations. An experimental validation on the registration of thousands of aerial video frames with satellite images from Google Maps showed that the boosted algorithm has a 20–30% smaller error than the best registration algorithm from the pool (based on SIFT features). More generally, the method presented can be applied to combine a number of algorithms aimed at solving the same problem into a boosted algorithm that is more accurate than any of them.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"21 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":"126180487","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