{"title":"The laser transmitters for the NASA/CNES CALIPSO and NASA ICESat-2 missions","authors":"F. Hovis, M. Stephen","doi":"10.1109/IGARSS.2012.6352325","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352325","url":null,"abstract":"Lasers designed for space-based applications must meet stringent performance requirements, but be robust enough to survive severe vibrational launch levels, and operate reliably on orbit for years with no maintenance. The transmitters that are currently in use in the CALIPSO mission and that are being designed for the ICESat-2 mission are good examples of this type of laser. We use our experiences in the design, build, and qualification testing of these lasers to illustrate our approach to space-flight laser development.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125156965","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}
D. Bradley, C. Brambora, A. Feizi, Rafael García, L. Miles, P. Mohammed, Jinzheng Peng, J. Piepmeier, K. Shakoorzadeh, M. Wong
{"title":"Preliminary results from the soil moisture active/passive (SMAP) radiometer digital electronics engineering test unit (ETU)","authors":"D. Bradley, C. Brambora, A. Feizi, Rafael García, L. Miles, P. Mohammed, Jinzheng Peng, J. Piepmeier, K. Shakoorzadeh, M. Wong","doi":"10.1109/IGARSS.2012.6351362","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351362","url":null,"abstract":"SMAP is one of four Tier-1 missions recommended by the National Research Council's Committee on Earth Science and Applications from Space [1]. The mission consists of a spacecraft with two instruments: an active L-band 1.26 GHz synthetic aperture radar and a passive L-band radiometer that operates in the 1.400 to 1.427 GHz microwave band. The goal of the mission is to use data derived from both instruments to construct high-resolution, high-accuracy global maps of soil moisture and freeze/thaw states over a 3 year mission duration. The SMAP radiometer has an entirely digital back-end processor that builds upon the findings by Misra et. al. [2], [3] for its digital signal processing (DSP) and radio frequency interference (RFI) mitigation. The implementation of this radiometer is currently under way and the mission is scheduled to launch in 2015. This paper summarizes the design and performance results of the RDE engineering test unit (ETU).","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125803023","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":"Assessment of storm-induced coastal morphologic changes and damage using repeat lidar remote sensing surveys","authors":"Hongxing Liu, Qiusheng Wu","doi":"10.1109/IGARSS.2012.6351415","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351415","url":null,"abstract":"Multi-temporal LIDAR surveys provide effective and powerful means to acquire land cover change information for assessing natural hazard damage in a rapid and timely fashion. In contrast to grid cells in the field-based representation, objects are much better information carriers. The object oriented method is efficient for processing repeat LiDAR data, extracting scientific information and knowledge, and providing reliable assessment of hazard damages to support emergency response planning, rescue and recovery activities.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939807","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}
Haibing Xiang, C. Cao, Huicong Jia, Min Xu, R. Myneni
{"title":"The analysis on the accuracy of DEM retrieval by the ground lidar point cloud data extraction methods in mountain forest areas","authors":"Haibing Xiang, C. Cao, Huicong Jia, Min Xu, R. Myneni","doi":"10.1109/IGARSS.2012.6352223","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352223","url":null,"abstract":"LiDAR data contains the elevation and brightness information of land surface, vegetation cover and construction. Ground filtering and interpolation method are the key for extracting the DEM accuracy based on the point clouds. This paper takes Zhangye City, Gansu Province in western mountainous areas as the study area, based on the point clouds of 0.7 points/m2, uses 5 m * 5 m grid screening method and the lowest Thiessen polygon point screening method to extract the ground point. Ordinary kriging interpolation method was used to retrieve Digital Elevation Model (DEM). Referring to the elevations of 1466 sample points, we analysed the accuracy for extracting DEM by the two selected methods of extracting ground point. The results showed that the DEM extracting accuracy by the near lowest point screening method is better than the grid screening method.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126075885","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":"Building extraction from LiDAR and aerial images and its accuracy evaluation","authors":"Jinfei Wang, Chuiqing Zeng, B. Lehrbass","doi":"10.1109/IGARSS.2012.6351636","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351636","url":null,"abstract":"There are numerous building footprint extraction methods from various data sources and extraction strategies. However, the lack of a consistent standard to evaluate the accuracy of such methods impedes the comparison of different methods, as well as further exploration of new methods. In this study, a comprehensive evaluation system for building detection is proposed and implemented. In order to test its performance, four different building footprint extraction methods have been designed using LiDAR and Colour Infrared Aerial Images. The comparison of the proposed accuracy evaluation indices and the analysis of the results demonstrate that the designed evaluation system can provide a more complete assessment for building footprint detection.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552114","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":"Urban area detection using multiple Kernel Learning and graph cut","authors":"Chao Tao, Yihua Tan, Jin-Gang Yu, J. Tian","doi":"10.1109/IGARSS.2012.6351631","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351631","url":null,"abstract":"This paper presents a new method for urban detection from high-spatial-resolution satellite images. Unlike traditional approaches using only texture information for urban detection, we integrate several complementary image features through multiple Kernel Learning framework, and demonstrate that fusing multiple features can help improving urban detection accuracy rate. Furthermore, since that most of supervised urban classification approaches are mainly based on block-based image interpretation, the resulting urban boundary is very coarse. To handle this, we formulate the urban boundary refinement as a binary labeling problem, and propose a graph cut based approach to solve it. Experimental results show that the proposed approach outperforms the existing algorithm in terms of detection accuracy.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123714718","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}
A. Metz, A. Schmitt, T. Esch, P. Reinartz, S. Klonus, M. Ehlers
{"title":"Synergetic use of TerraSAR-X and Radarsat-2 time series data for identification and characterization of grassland types - a case study in Southern Bavaria, Germany","authors":"A. Metz, A. Schmitt, T. Esch, P. Reinartz, S. Klonus, M. Ehlers","doi":"10.1109/IGARSS.2012.6350649","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350649","url":null,"abstract":"In the context of global change, alteration of landscapes and loss of biodiversity, the monitoring of habitats, vegetation types and their changes have become extraordinary important. In this paper, first results from a study that analyses the differentiability of NATURA2000 habitats and HNV grassland with imaging radar data are presented. Therefore, Kennaugh elements derived from TerraSAR-X and Radarsat-2 dual pol (VV/VH) time series data are used, both separately and in combination, to model the distribution of these classes with the Maximum-Entropy principle. The preliminary results show that the multi-frequency approach enables - compared to single frequency analyses - a finer differentiation between scatterers in the size of 3-6 cm (e.g. 7120, 7230 and HNV grassland).","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123753731","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":"Georegistration of multiple-camera wide area motion imagery","authors":"M. D. Pritt, Kevin J. LaTourette","doi":"10.1109/IGARSS.2012.6351174","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351174","url":null,"abstract":"Wide area motion imagery sensors utilize multiple cameras on a single aerial platform to monitor very large geographic areas in real time. The images must be stabilized and georegistered before they can be combined with other geospatial datasets, but their wide fields of view and oblique viewing angles make it difficult to align them accurately with a geographic reference frame. We describe a georegistration algorithm that accepts a digital elevation model as a geographic reference from which it generates predicted images. Registration of these predicted images produces 3D-to-2D tie points that determine the motion imagery camera models. We present results on multi-camera motion imagery from the U. S. Air Force's CLIF 2006 dataset using a bare-earth U. S. Geological Survey digital elevation model. The algorithm accurately georegisters the imagery despite the lack of buildings and trees in the model. Because of the wide availability of digital elevation models, the algorithm provides a practical means of georegistration.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272268","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}
Maria J. Sanjuan-Ferrer, I. Hajnsek, K. Papathanassiou
{"title":"Analysis of the detection performance of Coherent Scatterers in SAR images","authors":"Maria J. Sanjuan-Ferrer, I. Hajnsek, K. Papathanassiou","doi":"10.1109/IGARSS.2012.6351260","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351260","url":null,"abstract":"The identification of scatterers having a point-like behavior in SAR images has become an important topic with a wide range of applications, from calibration to information extraction. So far, three different approaches are available for the Coherent Scatterer (CS) detection, based on spectral correlation techniques using only a single SAR image. In this paper, a new approach based on the generalized likelihood ratio test (GLRT) is introduced. An extensive performance analysis using the different detection methods is presented, comparing the new proposed method with the previous ones. Lastly, the new approach is tested using real data.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125284939","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":"Hyperspectral flight-line leveling and scattering correction for image mosaics","authors":"Derek M. Rogge, M. Bachmann, B. Rivard, Jilu Feng","doi":"10.1109/IGARSS.2012.6350984","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350984","url":null,"abstract":"Commonly there is a need to create a “seamless” mosaic for hyperspectral surveys that include multiple adjacent flight-lines. This is done for both visual continuity and to remove line to line radiometric inconsistencies for subsequent analysis. This paper presents a novel empirical approach to generate image mosaics that is two fold. The first step is to apply a per-pixel scattering correction to adjust for BRDF effects. This correction is based on a vegetation index and the mean reflectance of the image. The second step is a leveling procedure that treats each line equally to derive a band by band correction factor that is weighted based on the scan angle of a given pixel. The results show that the scattering correction combined with the leveling procedure can significantly reduces line to line inconsistencies and produce a high quality mosaic.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338822","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}