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Large scale road network extraction in forested moutainous areas using airborne laser scanning data 基于机载激光扫描数据的森林山区大规模路网提取
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947444
A. Ferraz, C. Mallet, N. Chehata
{"title":"Large scale road network extraction in forested moutainous areas using airborne laser scanning data","authors":"A. Ferraz, C. Mallet, N. Chehata","doi":"10.1109/IGARSS.2014.6947444","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947444","url":null,"abstract":"In this work, we present an approach that is able to deal with large-scale road network mapping. While former methods focus on delineating patches of roads without computing a coherent road network, we formulate a very large number of road hypothesis that are pruned using a graph reasoning and weak a priori knowledge on road behavior. The initial solution is computed by means of two machine learning and pattern recognition state-of-the-art methods (namely, Random Forest classification and Marked Point Process) that allow to process very large areas in little time with very satisfactory results.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117259148","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
An mean shift algorithm with adaptive bandwidth and weight selection for high spatial remotely sensed imagery segmentation 基于自适应带宽和权值选择的高空间遥感图像分割均值移位算法
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6945950
Qinling Dai, Leiguang Wang, Qizhi Xu, Yun Zhang
{"title":"An mean shift algorithm with adaptive bandwidth and weight selection for high spatial remotely sensed imagery segmentation","authors":"Qinling Dai, Leiguang Wang, Qizhi Xu, Yun Zhang","doi":"10.1109/IGARSS.2014.6945950","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6945950","url":null,"abstract":"An improved mean shift segmentation method featuring adaptive parameter selection is presented in this paper. We associate the bandwidths and weight for each point in a spatial-range feature space with boundary information in an image plane. Varying weight and bandwidth for each pixel are assigned according to a boundary map, which is obtained by learning multiple edge cues. We consider two groups of edge cues and two regressing modules, approach the cue combination as a supervised learning problem from the ground truth data (manually sketched boundary maps). From our preliminary results, the provided method can combine the top-down information got from regression models with the mean shift process and constrain over-clustering of pixels belonging different land objects.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116596453","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
Ship velocity estimation by Doppler Centroid analysis of focused SAR data 聚焦SAR数据的多普勒质心分析舰船航速估计
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946805
A. Renga, A. Moccia
{"title":"Ship velocity estimation by Doppler Centroid analysis of focused SAR data","authors":"A. Renga, A. Moccia","doi":"10.1109/IGARSS.2014.6946805","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946805","url":null,"abstract":"The paper presents a method to discriminate ship targets from sea background in focused Single-Look Complex (SLC) Synthetic Aperture Radar (SAR) images. The method is based on Doppler Centroid analysis and it is able to generate an estimate ship velocity. Experimental results are presented showing the application of the method to TerraSAR-X data of the Gulf of Naples, Italy.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134547968","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
Field radiometry for vineyard status monitoring under Mediterranean conditions 地中海条件下葡萄园状态监测的田间辐射测量
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946878
Nilda Sanchez-Martin, J. Martínez-Fernández, J. Aparicio, C. M. Herrero-Jiménez
{"title":"Field radiometry for vineyard status monitoring under Mediterranean conditions","authors":"Nilda Sanchez-Martin, J. Martínez-Fernández, J. Aparicio, C. M. Herrero-Jiménez","doi":"10.1109/IGARSS.2014.6946878","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946878","url":null,"abstract":"Field radiometry based on high spectral capacity of spectroradiometers is an alternative to the high-cost direct or destructive measurements for monitoring agricultural vegetation. Parameters related with phenology, status and physiognomy either at leaf, plant or canopy level can potentially be estimated and monitored using measurements of the reflected energy in the visible and near infrared spectrum range. In this work, hyperspectral indices derived from combination of reflectance measurements were proposed for estimating biophysical parameters of vines plants and monitoring their water status. A vineyard of 100 has of Vitis vinifera was studied in the Castilla y León region of Spain. The biophysical parameters that have been controlled for the plants were Leaf Area Index (LAI), chlorophyll relative content, and vegetation water content (VWC). Soil moisture observations were also included in the dataset. Correlation between these parameters and hyperspectral indices was established and evaluated. Good results were found using the Soil-Adjusted Vegetation Index (SAVI), the Photochemical Reflectance Index (PRI), the Transformed Chlorophyll Absorption in Reflectance Index (TCARI) and the Chlorophyll Normalized Difference Index, (CNDI) for LAI, VWC and chlorophyll characterization, with a high number of significant correlations (R>0.60), specially for SAVI.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133311101","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
Coherent polarimetric SAR change analysis 相干极化SAR变化分析
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947505
T. Ainsworth, R. Sabry
{"title":"Coherent polarimetric SAR change analysis","authors":"T. Ainsworth, R. Sabry","doi":"10.1109/IGARSS.2014.6947505","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947505","url":null,"abstract":"We have developed a general framework to assess coherent polarimetric change that applies equally to quad-pol, dual-pol and hybrid-pol imagery. The formalism permits estimating polarimetric coherence for any combination of transmitted and received polarizations. In particular, the polarizations can be tuned to match specific targets of interest, or conversely, to determine the scattering properties of the changed targets. We will complete the investigation of both likelihood-ratio test statistics and illustrate our results using RadarSAR-2 and PALSAR polarimetric data. Our results will also be compared to those from previous works.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904264","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
The influence of land cover-related changes on the NDVI-based satellite agricultural drought indices 土地覆被变化对基于ndvi的卫星农业干旱指数的影响
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946868
A. Yagci, L. Di, M. Deng
{"title":"The influence of land cover-related changes on the NDVI-based satellite agricultural drought indices","authors":"A. Yagci, L. Di, M. Deng","doi":"10.1109/IGARSS.2014.6946868","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946868","url":null,"abstract":"Drought is a natural climatic event that often causes sharp declines in agricultural production. In recent years, drought indices based on remote sensing products have been developed on the premise that photosynthetic rate of vegetation slows down under drought/water stress, and this can be accurately tracked by the satellite data and methods. The Normalized Difference Vegetation Index (NDVI) is the most popular index with the long historical record to monitor terrestrial vegetation state around the world. It has been suggested that drought-induced NDVI decline can be confused with non-drought-related NDVI decline (e.g., fire, flood, land cover/land use change, pest infestation) in the NDVI-based drought method. To investigate the effect of land cover-related changes on the NDVI-based drought indices, we selected the Vegetation Condition Index (VCI), a popular NDVI-based drought index. We found that deforestation (i.e., land cover change) is falsely classified as drought in the VCI method, hence producing the false drought signals during the non-drought years. However, these false drought signals can be eliminated from drought maps with the help of spatial filters (e.g., median filter) because they are small scale signals relative to the study area size. Furthermore, the rotation of agricultural crops (e.g., crop rotation between corn and soybean) reduces the accuracy of drought reporting when crop rotation is not considered in the drought index computation because crop rotation annually accounts for over 50% agricultural land in Iowa, it has a significant impact on the NDVI-based drought methods. In conclusion, it can be said that the influence of land cover-related changes on the NDVI-based drought indicators is proportional to the size of non-drought related changes relative to the study area.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128578790","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: 15
A fast Kalman filter for time-lapse electrical resistivity tomography 延时电阻率层析成像的快速卡尔曼滤波
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947146
A. Saibaba, E. Miller, P. Kitanidis
{"title":"A fast Kalman filter for time-lapse electrical resistivity tomography","authors":"A. Saibaba, E. Miller, P. Kitanidis","doi":"10.1109/IGARSS.2014.6947146","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947146","url":null,"abstract":"We present a reduced complexity algorithm for time-lapse Electrical Resistivity Tomography (ERT) based on an extended Kalman filter. The key idea of the fast algorithm is an efficient representation of state covariance matrix at each step as a weighted combination of the system noise covariance matrix and a low-rank perturbation term. We propose an efficient algorithm for updating the weights and the basis of the low-rank perturbation. The overall computational cost at each iteration is O(Nnm) and storage cost O(N), where N is the number of grid points, and nm is the number of measurements. The performance of this algorithm is demonstrated on a challenging application of monitoring the CO2 plume using synthetic ERT data.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122676417","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: 5
Quality and seasonal time dependent modeling of radar backscatter from TanDEM-X data 基于TanDEM-X数据的雷达后向散射质量和季节时间依赖模型
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946621
P. Rizzoli, Benjamin Bräutigam
{"title":"Quality and seasonal time dependent modeling of radar backscatter from TanDEM-X data","authors":"P. Rizzoli, Benjamin Bräutigam","doi":"10.1109/IGARSS.2014.6946621","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946621","url":null,"abstract":"Radar backscatter knowledge represents a key parameter for many remote sensing applications which are based on Synthetic Aperture Radar (SAR) systems. The worldwide, interferometric SAR data set of images acquired within the TanDEM-X mission allows for the characterization of X-band backscatter using a statistical modeling approach on a global scale, having the chance to exploit the unique high quality topographic information associated to it. The input measurements are differently assessed by using a quality-based approach. A series of models can be derived, focusing on the backscatter dependency on polarization, incidence angle, and ground classification. Additional models can be derived depending on the acquisition seasonal time of the considered data. Preliminary results obtained from the X-band radar backscatter modeling approach are presented. The generation of up-to-date backscatter models for X-band will provide a useful data base for the development of a large number of remote sensing applications and for the optimization of future radar systems.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116877340","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
A sensitivity study of land surface temperature to soil moisture using in-situ and spaceborne observations 基于原位和星载观测的地表温度对土壤湿度的敏感性研究
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947176
M. Pablos, M. Piles, Nilda Sanchez-Martin, V. González-Gambau, M. Vall-llossera, Adriano Camps, J. Martínez-Fernández
{"title":"A sensitivity study of land surface temperature to soil moisture using in-situ and spaceborne observations","authors":"M. Pablos, M. Piles, Nilda Sanchez-Martin, V. González-Gambau, M. Vall-llossera, Adriano Camps, J. Martínez-Fernández","doi":"10.1109/IGARSS.2014.6947176","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947176","url":null,"abstract":"Surface Soil Moisture (SSM) affects the soil surface energy balance and thus affects the Land Surface Temperature (LST), and viceversa. Currently, LST and SSM are remotely sensed using TIR sensors and L-band radiometers, respectively. The NASA's Terra/Aqua missions provide full coverage of LST measurements under clear sky conditions using MODIS. The ESA's SMOS mission is the first satellite providing frequent SSM and ocean salinity observations at global scale. In this paper, a sensitivity study about the relationship of the LST and SSM is performed using in-situ measurements from the REMEDHUS network and spaceborne observations from MODIS and SMOS. Results show that the correlation between SSM and LST (both in-situ and remotely sensed) is highest using the daily maximum LST. This could help improving SSM algorithms and deriving new SSM products at higher resolution from the synergy of microwave and TIR observations.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131461814","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
The early detection of semi-permeable filtration barriers by using SAR interferometry 利用SAR干涉技术早期探测半透滤障
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946404
M. Karger, D. Trofimov, A. Eminov, I. Myasnikov, Alexander Zakharov
{"title":"The early detection of semi-permeable filtration barriers by using SAR interferometry","authors":"M. Karger, D. Trofimov, A. Eminov, I. Myasnikov, Alexander Zakharov","doi":"10.1109/IGARSS.2014.6946404","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946404","url":null,"abstract":"The faults are universal in the petroleum reservoirs. Some of them are Semi-Permeable Filtration Barriers (SPFBs) such that a SPFB becomes fluid/gas permeable if a pressure threshold is exceeded. This may cause sudden changes in reservoir structures and, eventually result in negative impacts on production. This paper deals with early SPFB detection and characterization. We consider some case studies of reservoirs with SPFBs, and present a new methodology for SPFB detection. This includes the following groups of methods: mapping of surface responses to deep geodynamic and fluid-dynamic events (incl. SAR interferometry), 3D-mapping of faults in the reservoir and adjacent formations, separation of SPFBs from other dislocations. The methodology implementation is demonstrated with the case study of underground gas storage.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133124548","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
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