China Symposium on Remote Sensing最新文献

{"title":"Quality improvement of Beijing-1 small satellite images","authors":"Qiong Ran, Yaobin Chi, Zhiyong Wang","doi":"10.1117/12.815550","DOIUrl":"https://doi.org/10.1117/12.815550","url":null,"abstract":"Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data images, thus noise removal and image restoration are the two important tasks in processing and application of the images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the images, and are employed in practical processing procedures of Beijing-1 small satellite images.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","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":"129547910","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}

{"title":"An improved algorithm for shadow restoration of high spatial resolution imagery","authors":"Qin J. Wang, Q. Tian, Q. Lin, Ming Li, Li M. Wang","doi":"10.1117/12.816170","DOIUrl":"https://doi.org/10.1117/12.816170","url":null,"abstract":"Based on the principle of \"static gains and offsets during the process of image data acquirement,\" an algorithm named \"shadow restoration by matching the statistical feature of neighboring pixels\" was proposed here. The histogram method used to calculate the threshold and to efficiently separate shadow from water was improved by incorporating into shape factors. By matching the statistical feature of shadow with the pixels of none shadow segments on the same line, this improved method was able to restore weak spectral information in shadow. The results from the restoration experiment using QuickBird imagery of Nanjing city indicated its good performance for shadow restoration which is characterized by a fast speed, high degree of automation and wide application scope.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"22 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":"126910276","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}

{"title":"Multi-scale wavelet super-resolution image reconstruction based on nonuniform sampling multi-frame images","authors":"Jiantao Wang, Yun Zhao, Qing Gao","doi":"10.1117/12.816168","DOIUrl":"https://doi.org/10.1117/12.816168","url":null,"abstract":"Nonuniform sampling and lack of prior knowledge of original image frames are the main problems of image reconstruction technology. Based on the theory of wavelet, the paper describes the relationship between different spatial scale wavelet resolvability and high resolution (HR) image reconstruction. According to the given sample data, different scale wavelet coefficients are estimated. Using the coefficients, we reconstruct the unknown sampling-point in HR grids and get the HR image at last. By experiment, it proves that the algorithm used in the paper avoids the problems of image reconstruction mentioned above and greatly improve image's spatial resolution and definition. At the same time, the calculating complexity is also reduced by using the reconstruction method in the paper.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"PP 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":"126424358","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}

{"title":"Remote sensing of marine oil spills and its applications","authors":"Ying Li, Long Ma, Shuiming Yu, Chuan-long Li, Qi-jun Li","doi":"10.1117/12.816198","DOIUrl":"https://doi.org/10.1117/12.816198","url":null,"abstract":"Remote sensing is an effective tool to monitor oil spills. The theory of oil spill remote sensing is based on the differences between oil slick and other environmental objects. For optical sensor, the ability of different bands to find oil film at sea is different. Oil spill object could be intensified by composing appropriate bands. In addition, image enhancements could also strengthen oil spill features. For SAR, image characteristics of oil spill are crucial to oil detection. Applications show that sensors loaded on satellite can find oil slick at sea. Optical sensor and SAR have their own advantages, and play different roles in oil spill remote sensing. It is necessary to integrate them to establish an all-weather, omnidirectional 3-D monitoring network for monitoring oil spills and illicit vessel discharges.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"70 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":"125201888","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}

{"title":"Abstracting of suspected illegal land use in urban areas using case-based classification of remote sensing images","authors":"Fulong Chen, Chao Wang, Che-Wei Yang, Hong Zhang, Fan Wu, Wenjuan Lin, Bo Zhang","doi":"10.1117/12.816188","DOIUrl":"https://doi.org/10.1117/12.816188","url":null,"abstract":"This paper proposed a method that uses a case-based classification of remote sensing images and applied this method to abstract the information of suspected illegal land use in urban areas. Because of the discrete cases for imagery classification, the proposed method dealt with the oscillation of spectrum or backscatter within the same land use category, and it not only overcame the deficiency of maximum likelihood classification (the prior probability of land use could not be obtained) but also inherited the advantages of the knowledge-based classification system, such as artificial intelligence and automatic characteristics. Consequently, the proposed method could do the classifying better. Then the researchers used the object-oriented technique for shadow removal in highly dense city zones. With multi-temporal SPOT 5 images whose resolution was 2.5×2.5 meters, the researchers found that the method can abstract suspected illegal land use information in urban areas using post-classification comparison technique.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"15 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":"133588353","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}

{"title":"An improved algorithm of hyperspectral image endmember extraction using projection pursuit","authors":"Zizhi Yang, Huijie Zhao","doi":"10.1117/12.816162","DOIUrl":"https://doi.org/10.1117/12.816162","url":null,"abstract":"Endmember extraction is one of the most important procedures in linear unmixing approach. In this paper, an improved projection pursuit-based endmember extraction algorithm is proposed to extract endmember through extracting non-Gussian structure of hyperspectral image data. Principal component analysis is used not only for removing correlation but also used to reduce dimension and noise in our approach. Procedure of removing \"uninteresting\" projections is developed to be more automatic. In order to evaluate the effectiveness of the improved approach, simulation data composed by spectrums from SPLIB04b mineral spectrum library offered by USGS is used in experiment. Simulation experiment result shows feasibility of its application in endmember extraction. And then, the algorithm is applied to mineral detection, which proves its effectiveness in automatic mineral endmember detection.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"21 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":"125434766","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}

{"title":"Method for extraction of quantitative information using remote sensing data of underground coal fire areas and its application","authors":"Fuxing Dang, Zhizhong Li, S. Xiong, Hongbin Fang, Rihong Yang","doi":"10.1117/12.816206","DOIUrl":"https://doi.org/10.1117/12.816206","url":null,"abstract":"Underground coal-bed spontaneous combustion is a dynamic process with complex physical, chemical and environmental interaction. The anomalous information on remote sensing spatial, spectral and thermal indexes is very meaningful for detecting underground coal fires and assessing its effects on environment. This paper, based on a series of advanced technical datum in Wu Da coalfield areas located in Inner-Mongolia, such as ground spectral testing, thermal infrared multispectral indexes, and high-spatial resolution images, analyzes the correlation between the underground coal-bed burning conditions and the remote sensing information. Besides, it provides a further discussion on the application potential for quantitative feature extraction of underground coal fire.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"150 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":"122764723","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}

{"title":"Retrieval of reed biomass based on multi-time remote sensing data: a case study on ShuangTai Estuary Nature Reserve, Panjin","authors":"Ailian Chen, Yu Wan, Jie Zhang, Yanhua Wu","doi":"10.1117/12.816194","DOIUrl":"https://doi.org/10.1117/12.816194","url":null,"abstract":"Wetland plays an important role in improving the ecosystem around it. It's able to store carbon and slow down the global warming. Recently, however, there are a lot of evidences that wetlands are diminishing rapidly. As the primary producer of the many wetlands, reed has great ecological value, as well as economical and decorative value. It is significant to study reed. In this article, the feasibility of retrieving reed biomass based on multi-time remote sensing data has been proved. In ShuangTai Estuary Nature Reserve of Panjin, as reed grows mainly between May to September, some pieces of Landsat TM data of these months were collected, and Normalized Difference Vegetation Index (NDVI), Difference Vegetation Index (DVI) are extracted from this multi-spectral data, and then Renormalized Vegetation Index (RDVI) is calculated through DVI and NDVI. With those Vegetation index and field data of reed biomass, the relationship between them is explored, which shows that reed biomass, including its stem biomass and leaf biomass, is poorly related to RDVI (R<0.5), but significantly related to NDVI.(R = 0.923). Moreover, NDVI has a similar growing trend with the reed leaf biomass, thus linear and quadratic models to calculate reed biomass from NDVI are derived and the better one is picked to produce thematic maps of reed biomass. Uncertainties while using the models are analyzed in the end.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"23 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":"121495975","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}

{"title":"Water color component analysis in saltwater intrusion reach: a case study in Shawan-Humen Watercourse, Pearl River Estuary","authors":"Ligang Fang, Shuisen Chen, Dan Li, Lixin Zhang, Dong Li","doi":"10.1117/12.816191","DOIUrl":"https://doi.org/10.1117/12.816191","url":null,"abstract":"The saline water color component characteristic (chlorophyll-a and chromophoric dissolved organic matter (CDOM)) and their spatial change tendency in the Pearl River Estuary from the In-situ data in December of 2006 was studied. Based on the experimental results, the mixing behavior of CDOM in the Shawan-Humen Watercourse was analyzed. The mixing behavior was controlled by topography, hydrological and biological factors, and the relationships among absorption characteristics of CDOM (at 400 nm, ag400). Contained is a discussion of chlorophyll-a concentration and salinity. The chlorophyll-a concentration decreases with increasing CDOM absorption under a salinity of 10, while the chlorophyll-a concentration decreases with increasing salinity. The salinity becomes less aggressive towards the Lingding Bay in the saltwater intrusion reach of Shawan-Humen, and a low chlorophyll-a concentration area occurs in the Shiziyang riverway where the salinity is greater than 20. The highest chlorophyll-a concentration of surface water was observed in the Dadaoshawei site of the Shawan tributary reach- where the saltwater and freshwater interface. The slope distribution of the CDOM spectral absorption curve in the Shawan-Humen watercourse was increased towards the Lingding Bay direction. The spectral slope S value of CDOM varied from 0.0107 to 0.0121 nm-1 with an average value of 0.0116 nm-1. This was an indication that the terrestrial river input was the main resource of CDOM in the Shawan-Humen watercourse. The high correlation (R2=0.9458)of surface water and bottom water (-7.5m ) salinity showed that salinity can be monitored by remote sensing. The ag400 in the saltwater intrusion reach showed conservative behavior, indicating strong characteristics of the CDOM it reflected. There was a correlative relationship between ag400, chlorophyll-a concentration and the salinity, showing that a water color analysis technique can be used to study the distribution and behavior of salinity, as well as saltwater intrusion to a certain extent.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"13 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":"122285423","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}

{"title":"Research on land use/cover change of opencast coal mining area of Pingshuo Shanxi","authors":"W. Zhou, Zhongke Bai, Zhizhong Li, Yuanyuan Wu, Tao Yuan, Mingjie Qian","doi":"10.1117/12.816181","DOIUrl":"https://doi.org/10.1117/12.816181","url":null,"abstract":"The Pingshuo open-cast coal field is located in the Shuozhou district, north of Shanxi, China. It is a part of wider region known as the Black Triangle. Open-cast coal mining has caused total destruction of original ecosystems, as well as changes of relief and also land use/cover changes (LUCC) in the mining areas. This paper presents a case study on land use/cover change , and analyzes the LUCC extracted from the TM (ETM+) image data taken from 1986, 1990, 1995, 2002, and 2005. Here comes the results: With the turning of the structure of the mining area land from undisturbed land to land both undisturbed and disturbing, there is the coexistence of undisturbed land, disturbing land and reclaimed land; On the quantity side, from 1986 to 2005, the area of undisturbed land has reduced from 36601.0 ha to 33379.51 ha , while the area of disturbing land has increased from 911.25 ha to 3206.36 ha , and the reclaimed land from 0 ha to 926.46 ha. The area of original land will decrease to 4425.8 ha, as predicted; The spatial evolution, under the obvious limitations of mining order and planning, is presenting a gradient change form from undisturbed land to disturbing land and then to reclaimed land, that is, the spatial scale of reclaimed land is expanding while the undisturbed land is narrowing gradually.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"17 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":"133780427","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}