Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7325989
P. Hwang, A. Stoffelen, G. V. Zadelhoff, W. Perrie, Biao Zhang, Haiyan Li, Hui Shen
Microwave backscattering from the ocean surface is closely related to the wind-generated ocean surface roughness. This property is used for obtaining global ocean surface vector winds. The deployed scatterometers so far do not use the cross-polarized sea return (VH, representing either vertical transmit horizontal receive or horizontal transmit vertical receive) because of its weak signal level. The copolarized returns (VV or HH), however, may saturate in high wind speeds especially for low incidence angles.
{"title":"A C-band cross polarization geophysical model function","authors":"P. Hwang, A. Stoffelen, G. V. Zadelhoff, W. Perrie, Biao Zhang, Haiyan Li, Hui Shen","doi":"10.1109/IGARSS.2015.7325989","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7325989","url":null,"abstract":"Microwave backscattering from the ocean surface is closely related to the wind-generated ocean surface roughness. This property is used for obtaining global ocean surface vector winds. The deployed scatterometers so far do not use the cross-polarized sea return (VH, representing either vertical transmit horizontal receive or horizontal transmit vertical receive) because of its weak signal level. The copolarized returns (VV or HH), however, may saturate in high wind speeds especially for low incidence angles.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126659336","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326405
R. Lanari, P. Berardino, M. Bonano, F. Casu, C. Luca, S. Elefante, A. Fusco, M. Manunta, M. Manzo, C. Ojha, A. Pepe, Eugenio Sansosti, I. Zinno
This work is aimed at describing the development of an efficient interferometric processing chain, based on the well-known advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) algorithm referred to as Small BAseline Subset (SBAS) technique, for the generation of Sentinel-1A (S1-A) Interferometric Wide Swath (IWS) deformation time-series. Due to the TOPS mode characterizing the IWS acquisitions, the existing SBAS processing chains was properly adapted with new procedures for efficiently handling the S1-A data. The developed SBAS-DInSAR chain has been tested on both S1-A and TOPS RadarSAT-2 interferometric dataset, clearly demonstrating the capability of the developed SBAS-DInSAR processing chain to effectively investigate land subsidence phenomena affecting large areas.
{"title":"Sentinel-1 results: SBAS-DInSAR processing chain developments and land subsidence analysis","authors":"R. Lanari, P. Berardino, M. Bonano, F. Casu, C. Luca, S. Elefante, A. Fusco, M. Manunta, M. Manzo, C. Ojha, A. Pepe, Eugenio Sansosti, I. Zinno","doi":"10.1109/IGARSS.2015.7326405","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326405","url":null,"abstract":"This work is aimed at describing the development of an efficient interferometric processing chain, based on the well-known advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) algorithm referred to as Small BAseline Subset (SBAS) technique, for the generation of Sentinel-1A (S1-A) Interferometric Wide Swath (IWS) deformation time-series. Due to the TOPS mode characterizing the IWS acquisitions, the existing SBAS processing chains was properly adapted with new procedures for efficiently handling the S1-A data. The developed SBAS-DInSAR chain has been tested on both S1-A and TOPS RadarSAT-2 interferometric dataset, clearly demonstrating the capability of the developed SBAS-DInSAR processing chain to effectively investigate land subsidence phenomena affecting large areas.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126664999","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326939
M. Messina, G. Pinelli
Correct identification of obstacles at the periphery of airports is an important issue to ensure safe takeoff, flight, and landing to aircrafts. This work is carried on as part of the obstacle risk assessment and risk mitigation operations in the aviation security framework. This paper presents a novel fully automatic remote sensing methodology for the detection, shape and signature extraction and classification of obstacles to air navigation from very high resolution (VHR) multispectral (MS) satellite stereo couples images, here defined feature extraction (FE). In order to reduce the costs, the proposed technique is applied only on detailed areas where orographic/topographic changes potentially associated with variations in the obstacles to air navigation in wide areas have been previously detected through a low-cost pre-screening change detection (CD) methodology applied to cheaper high resolution (HR) satellite imagery. The combination of CD and FE strategies offers a low-cost and fast solution to the problem of updating airport obstacle chart.
{"title":"Fully automatic detection, feature extraction and classification of obstacles to air navigation","authors":"M. Messina, G. Pinelli","doi":"10.1109/IGARSS.2015.7326939","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326939","url":null,"abstract":"Correct identification of obstacles at the periphery of airports is an important issue to ensure safe takeoff, flight, and landing to aircrafts. This work is carried on as part of the obstacle risk assessment and risk mitigation operations in the aviation security framework. This paper presents a novel fully automatic remote sensing methodology for the detection, shape and signature extraction and classification of obstacles to air navigation from very high resolution (VHR) multispectral (MS) satellite stereo couples images, here defined feature extraction (FE). In order to reduce the costs, the proposed technique is applied only on detailed areas where orographic/topographic changes potentially associated with variations in the obstacles to air navigation in wide areas have been previously detected through a low-cost pre-screening change detection (CD) methodology applied to cheaper high resolution (HR) satellite imagery. The combination of CD and FE strategies offers a low-cost and fast solution to the problem of updating airport obstacle chart.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884084","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326987
Kaya Kanemaru, T. Kubota, M. Kachi, R. Oki, T. Iguchi, Y. Takayabu
Precipitation observation by the Tropical Rainfall Measuring Mission's (TRMM's) Precipitation Radar (PR) lasted for almost 17 years. Homogeneity of long-term PR data will be essential to study the water cycle change related to the interannual variability and the decadal change. In this study, we aim to develop a precipitation climate data from 17-year PR data. In this paper, PR data are adjusted to mitigate the discontinuity of the PR hardware (H/W) change. An obvious discontinuity of storm top height caused by the PR H/W change is mitigated creating the adjusted data. Semi-global (35S-35N) precipitation derived from the adjusted data is decreased by 0.98 % as compared with the original data.
{"title":"A decadal variability of semi-global precipitation by TRMM PR","authors":"Kaya Kanemaru, T. Kubota, M. Kachi, R. Oki, T. Iguchi, Y. Takayabu","doi":"10.1109/IGARSS.2015.7326987","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326987","url":null,"abstract":"Precipitation observation by the Tropical Rainfall Measuring Mission's (TRMM's) Precipitation Radar (PR) lasted for almost 17 years. Homogeneity of long-term PR data will be essential to study the water cycle change related to the interannual variability and the decadal change. In this study, we aim to develop a precipitation climate data from 17-year PR data. In this paper, PR data are adjusted to mitigate the discontinuity of the PR hardware (H/W) change. An obvious discontinuity of storm top height caused by the PR H/W change is mitigated creating the adjusted data. Semi-global (35S-35N) precipitation derived from the adjusted data is decreased by 0.98 % as compared with the original data.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126906040","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7327048
M. Azadbakht, C. Fraser, Chunsun Zhang
Geometric and radiometric attributes of targets are provided by full-waveform LiDAR data. However, the accuracy of such information depends largely on the adopted data processing method. In this study, the emphasis is on the retrieval of the temporal target cross-section by regularization methods, with the subsequent extraction of the backscattering cross-section (BCS) and backscatter coefficient (BC), the aim being to characterize different classes in an urban scene. In particular, a sparsity constraint regularization method has been investigated to provide a temporal target response with high resolution. The L-curve method is represented as a proper approach for estimation of the optimal regularization parameter, where a polynomial function is fitted to a group of discrete points associated with the corresponding values between the two terms in the objective function. The proposed methods have been tested with real full-waveform LiDAR data, demonstrating the capability of efficient separation of targets in the waveform signal.
{"title":"Separability of targets in urban areas using features from full-waveform LiDARA data","authors":"M. Azadbakht, C. Fraser, Chunsun Zhang","doi":"10.1109/IGARSS.2015.7327048","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7327048","url":null,"abstract":"Geometric and radiometric attributes of targets are provided by full-waveform LiDAR data. However, the accuracy of such information depends largely on the adopted data processing method. In this study, the emphasis is on the retrieval of the temporal target cross-section by regularization methods, with the subsequent extraction of the backscattering cross-section (BCS) and backscatter coefficient (BC), the aim being to characterize different classes in an urban scene. In particular, a sparsity constraint regularization method has been investigated to provide a temporal target response with high resolution. The L-curve method is represented as a proper approach for estimation of the optimal regularization parameter, where a polynomial function is fitted to a group of discrete points associated with the corresponding values between the two terms in the objective function. The proposed methods have been tested with real full-waveform LiDAR data, demonstrating the capability of efficient separation of targets in the waveform signal.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123995186","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326074
A. Lugli, L. Vittuari
This note is about the comparison of coregistration offset tracking velocities of a glacier obtained with SAR sensors characterized by different wavelengths and spatial resolutions: Cosmo-SkyMED (X band) and RADARSAT-2 (C band). The study area is represented by the initial part of the David Glacier, in Antarctica, which is the most important outlet glacier of Victoria Land. Particular attention has been devoted to understand the role of polarization and penetration depth of the incident wavelength, which represent key parameters in determining the effective incidence angle and so, for this reason, affecting also derived velocities. Further investigation is needed to complete this analysis, considering also geophysical data and tidal effects. In particular, we focused our attention on the initial portion of the David glacier, comprising the grounding line (which is the line where the glacier begins to be floating on the sea surface), represented in fig. 3 [1]. The processed dataset consists of four COSMO-SkyMed (in the following simply CSK) Stripmap scenes and two RADARSAT-2 scenes in quad polarization Wide Fine Beam mode, made available respectively by Italian and Canadian Spatial Agencies through the “COSMO-SkyMed/RADARSAT-2 Initiative Joint Announcement of Opportunity” (Proposal id 2873/5247).
{"title":"Comparison of COSMO-SkyMed and RADARSAT-2 offset tracking results on David-Drygalski glacier (Antarctica) surface velocities","authors":"A. Lugli, L. Vittuari","doi":"10.1109/IGARSS.2015.7326074","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326074","url":null,"abstract":"This note is about the comparison of coregistration offset tracking velocities of a glacier obtained with SAR sensors characterized by different wavelengths and spatial resolutions: Cosmo-SkyMED (X band) and RADARSAT-2 (C band). The study area is represented by the initial part of the David Glacier, in Antarctica, which is the most important outlet glacier of Victoria Land. Particular attention has been devoted to understand the role of polarization and penetration depth of the incident wavelength, which represent key parameters in determining the effective incidence angle and so, for this reason, affecting also derived velocities. Further investigation is needed to complete this analysis, considering also geophysical data and tidal effects. In particular, we focused our attention on the initial portion of the David glacier, comprising the grounding line (which is the line where the glacier begins to be floating on the sea surface), represented in fig. 3 [1]. The processed dataset consists of four COSMO-SkyMed (in the following simply CSK) Stripmap scenes and two RADARSAT-2 scenes in quad polarization Wide Fine Beam mode, made available respectively by Italian and Canadian Spatial Agencies through the “COSMO-SkyMed/RADARSAT-2 Initiative Joint Announcement of Opportunity” (Proposal id 2873/5247).","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196418","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326295
Eleftheria A. Mylona, O. Sykioti, K. Koutroumbas, A. Rontogiannis
In this paper a joint spectral unmixing and clustering approach for the identification of homogeneous regions in hyperspectral images is proposed. The endmembers required in the unmixing stage are manually selected based on the most significant principal components of the image at hand. Each pixel is decomposed as a linear combination of the endmembers and is represented by the vector of the coefficients of its corresponding linear combination. The clustering stage utilizes the complete-link hierarchical agglomerative clustering algorithm in a layer-wise fashion in order to retrieve the optimal clusters, based on the latter pixels representation. Experiments conducted on real images support the high-quality performance of the proposed approach.
{"title":"Joint spectral unmixing and clustering for identifying homogeneous regions in hyperspectral images","authors":"Eleftheria A. Mylona, O. Sykioti, K. Koutroumbas, A. Rontogiannis","doi":"10.1109/IGARSS.2015.7326295","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326295","url":null,"abstract":"In this paper a joint spectral unmixing and clustering approach for the identification of homogeneous regions in hyperspectral images is proposed. The endmembers required in the unmixing stage are manually selected based on the most significant principal components of the image at hand. Each pixel is decomposed as a linear combination of the endmembers and is represented by the vector of the coefficients of its corresponding linear combination. The clustering stage utilizes the complete-link hierarchical agglomerative clustering algorithm in a layer-wise fashion in order to retrieve the optimal clusters, based on the latter pixels representation. Experiments conducted on real images support the high-quality performance of the proposed approach.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121295454","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326525
R. Guida, J. Marcello, Francisco Eugenio-Gonzalez
The singular characteristics of the Canarian archipelago (Spain) have allowed the development of a unique biological richness. Almost half of its territory is protected to preserve the natural environment. In this paper, different approaches to consider fusion of multi-sensor data are considered and corresponding methodologies described. The application to real datasets over Canarian islands is undergoing and fusion maps will be presented at the conference while preliminary classification results with multispectral data are described here.
{"title":"SAR, optical and LiDAR data fusion for the high resolution mapping of natural protected areas","authors":"R. Guida, J. Marcello, Francisco Eugenio-Gonzalez","doi":"10.1109/IGARSS.2015.7326525","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326525","url":null,"abstract":"The singular characteristics of the Canarian archipelago (Spain) have allowed the development of a unique biological richness. Almost half of its territory is protected to preserve the natural environment. In this paper, different approaches to consider fusion of multi-sensor data are considered and corresponding methodologies described. The application to real datasets over Canarian islands is undergoing and fusion maps will be presented at the conference while preliminary classification results with multispectral data are described here.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121301510","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326366
C. Kobayashi, I. Lau, B. Wheaton, L. Bourke, S. Kakuta, Tetsushi Tachikawa
The goal of this study was the quantitative mapping of soil salinity from soil reflectance spectroscopy using airborne and/or spaceborne optical data. Generally, the reflectance spectra of agricultural lands contain a mixture of information of soil and vegetation. In addition, the spectra observed at the sensor are affected by the atmosphere and the aspect of topography. In this study, we corrected for atmospheric effects using the Second order derivative algorithm (SODA) method, which canceled the effect of the differences due to topography, and removed the effect of vegetation, to obtain pure soil spectra and estimate the degree of soil salinity. The soil salinity estimation map was found to correspond well to the electrical conductivity (EC) values that were used for validation. These validation results show that this method is effective for the estimation of soil salinity regardless of soil color and topography.
{"title":"Mapping of soil salinity using an airborne hyperspectral sensor in Western Australia","authors":"C. Kobayashi, I. Lau, B. Wheaton, L. Bourke, S. Kakuta, Tetsushi Tachikawa","doi":"10.1109/IGARSS.2015.7326366","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326366","url":null,"abstract":"The goal of this study was the quantitative mapping of soil salinity from soil reflectance spectroscopy using airborne and/or spaceborne optical data. Generally, the reflectance spectra of agricultural lands contain a mixture of information of soil and vegetation. In addition, the spectra observed at the sensor are affected by the atmosphere and the aspect of topography. In this study, we corrected for atmospheric effects using the Second order derivative algorithm (SODA) method, which canceled the effect of the differences due to topography, and removed the effect of vegetation, to obtain pure soil spectra and estimate the degree of soil salinity. The soil salinity estimation map was found to correspond well to the electrical conductivity (EC) values that were used for validation. These validation results show that this method is effective for the estimation of soil salinity regardless of soil color and topography.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063522","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}
Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326464
L. Eeti, K. Buddhiraju
In the present paper, efficiency and competence of an ensemble method is explored in the context of large number of available spectral information. Classification results of ensemble method are compared with the results generated by a single classifier utilizing all spectral channels. In the present study, an ensemble committee is constructed by distributing spectral channels among five members of the committee to satisfy diversity criteria. Each spectral channel is representative of a particular wavelength and each Earth feature has its own spectral signature to a specific wavelength. Taking advantage of this fact, the present study attempts to explore the possibility of constructing diverse ensemble members in addition to achieving improved classification accuracy with respect to hard-to-discriminate image objects. Classification results obtained are promising. Overall classification accuracy is better through ensemble method. Some hard-to-discriminate objects are correctly identified. However, in some cases we obtained mixed results.
{"title":"An ensemble constructed using spectral distribution and its efficiency in categorizing hard-to-discriminate features","authors":"L. Eeti, K. Buddhiraju","doi":"10.1109/IGARSS.2015.7326464","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326464","url":null,"abstract":"In the present paper, efficiency and competence of an ensemble method is explored in the context of large number of available spectral information. Classification results of ensemble method are compared with the results generated by a single classifier utilizing all spectral channels. In the present study, an ensemble committee is constructed by distributing spectral channels among five members of the committee to satisfy diversity criteria. Each spectral channel is representative of a particular wavelength and each Earth feature has its own spectral signature to a specific wavelength. Taking advantage of this fact, the present study attempts to explore the possibility of constructing diverse ensemble members in addition to achieving improved classification accuracy with respect to hard-to-discriminate image objects. Classification results obtained are promising. Overall classification accuracy is better through ensemble method. Some hard-to-discriminate objects are correctly identified. However, in some cases we obtained mixed results.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114107917","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}
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