Pub Date : 2019-12-20DOI: 10.1109/ICMRSISIIT46373.2020.9405915
P. A. Buah, Prof Zhang Yingbin, Delali Atsu Yao Bakah, M. Ahiabu, Le Zhibin
This paper study the effect of the Digital Elevation Model (DEM) data parameters ( type, source, and resolution) on a slope unit and landslide susceptibility analysis using Geographic Information System (GIS). The Landslide susceptibility analysis and slope unit delineation is done using six DEM data from three different sources (Bige Map, SRTM, and Wietu) at varying resolutions and pixel sizes. The Frequency Ratio Method is then used to analyze Ghana’s susceptibility to seismic landslides whiles; a pseudo-static critical slip method (Factor of safety method) is used to check the accuracy and also indicate the specific slopes to fail at specific seismic loading. The research aimed to achieve the goal since the method allowed for the attainment of an optimum slope unit and landslide map for each resolution of data regardless of the source. The procedure permitted and informed a decision making on the best DEM DATA and resolution for slope unit and Landslide analysis. The result showcases a DEM Resolution of 18 and 30 m and pixel 30m*30m size to be the best DEM to be used for landslide susceptibility mapping. The results further prove Bige Map and STRM DEM to give a more precise effect than weitu.
{"title":"Earthquake-Induced Landslide Susceptibility Analysis :The Effect of DEM Resolution","authors":"P. A. Buah, Prof Zhang Yingbin, Delali Atsu Yao Bakah, M. Ahiabu, Le Zhibin","doi":"10.1109/ICMRSISIIT46373.2020.9405915","DOIUrl":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405915","url":null,"abstract":"This paper study the effect of the Digital Elevation Model (DEM) data parameters ( type, source, and resolution) on a slope unit and landslide susceptibility analysis using Geographic Information System (GIS). The Landslide susceptibility analysis and slope unit delineation is done using six DEM data from three different sources (Bige Map, SRTM, and Wietu) at varying resolutions and pixel sizes. The Frequency Ratio Method is then used to analyze Ghana’s susceptibility to seismic landslides whiles; a pseudo-static critical slip method (Factor of safety method) is used to check the accuracy and also indicate the specific slopes to fail at specific seismic loading. The research aimed to achieve the goal since the method allowed for the attainment of an optimum slope unit and landslide map for each resolution of data regardless of the source. The procedure permitted and informed a decision making on the best DEM DATA and resolution for slope unit and Landslide analysis. The result showcases a DEM Resolution of 18 and 30 m and pixel 30m*30m size to be the best DEM to be used for landslide susceptibility mapping. The results further prove Bige Map and STRM DEM to give a more precise effect than weitu.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81784795","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 : 2019-12-20DOI: 10.1109/ICMRSISIIT46373.2020.9405957
Ibrahim El Rube'
Color reduction is an important tool for different image processing and computer vision applications. In this paper, a progressive histogram-based color reduction (quantization) is used with the Kmeans clustering algorithm to speed up the quantization process of the Kmeans method. The progressive histogram quantization (PHQ) is a simple iterative algorithm where a single histogram bin is merged to one of its two nearest neighbors’ bins at each iteration. The histogram bin is merged according to the differences in the value (pixel counts) and the location of the left and right bins. The PHQ algorithm is used as a pre-quantization for the Kmeans clustering to reduce the size of the data and speed up the clustering process. The experimental results show that the PHQ+Kmeans algorithm maintains good image quality and enhances the execution time compared to the Kmeans clustering algorithm alone when applied on remote sensing images.
{"title":"Image Color Reduction Using Progressive Histogram Quantization and Kmeans Clustering","authors":"Ibrahim El Rube'","doi":"10.1109/ICMRSISIIT46373.2020.9405957","DOIUrl":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405957","url":null,"abstract":"Color reduction is an important tool for different image processing and computer vision applications. In this paper, a progressive histogram-based color reduction (quantization) is used with the Kmeans clustering algorithm to speed up the quantization process of the Kmeans method. The progressive histogram quantization (PHQ) is a simple iterative algorithm where a single histogram bin is merged to one of its two nearest neighbors’ bins at each iteration. The histogram bin is merged according to the differences in the value (pixel counts) and the location of the left and right bins. The PHQ algorithm is used as a pre-quantization for the Kmeans clustering to reduce the size of the data and speed up the clustering process. The experimental results show that the PHQ+Kmeans algorithm maintains good image quality and enhances the execution time compared to the Kmeans clustering algorithm alone when applied on remote sensing images.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88122907","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.609183
A. Andreadis, G. Benelli, A. Garzelli, S. Susini
An adaptive DCT-based image compression algorithm for radar images is proposed, tested and compared to JPEG and to classical coding algorithms for remote sensing imagery. The Modified Adaptive Discrete Cosine Transform (MADCT) scheme is proposed, which allows one to classify each image block by means of a threshold criterion based on AC and DC activity. The strategy of transmission of the DCT coefficients, the recovering process of blocks incorrectly discarded, and the bit-allocation phase have been properly designed to provide high compression of two classes of images: X-band real-aperture radar images for ship traffic control, and SAR images for browsing applications. The experimental results, in terms of PSNR and compression ratio, prove the superiority of the novel scheme with respect to standard coding techniques.
{"title":"A DCT-based adaptive compression algorithm customized for radar imagery","authors":"A. Andreadis, G. Benelli, A. Garzelli, S. Susini","doi":"10.1109/IGARSS.1997.609183","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.609183","url":null,"abstract":"An adaptive DCT-based image compression algorithm for radar images is proposed, tested and compared to JPEG and to classical coding algorithms for remote sensing imagery. The Modified Adaptive Discrete Cosine Transform (MADCT) scheme is proposed, which allows one to classify each image block by means of a threshold criterion based on AC and DC activity. The strategy of transmission of the DCT coefficients, the recovering process of blocks incorrectly discarded, and the bit-allocation phase have been properly designed to provide high compression of two classes of images: X-band real-aperture radar images for ship traffic control, and SAR images for browsing applications. The experimental results, in terms of PSNR and compression ratio, prove the superiority of the novel scheme with respect to standard coding techniques.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"8 1","pages":"1993-1995 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73654572","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.608999
Ziad S. Haddad, S. Durden, Eastwood Im
A Bayesian method was adopted to combine the instantaneous measurements of the Tropical Rainfall Measuring Mission's (TRMM) radar and radiometer. The method makes multiple estimates of the rain-rate profile using the radar reflectivities assuming various plausible values for the drop size distribution (DSD) shape parameters, then selects those parameter values which produce estimates that are most consistent with the passive observations. The resulting estimates are expressed directly in terms of the DSD parameters, thus allowing one to calculate any rain-related quantity, such as rain rate profile, precipitating liquid water profile, etc. The Bayesian approach also allows one to calculate the "error bar" associated with each estimate.
{"title":"Bayesian fusion of TRMM passive and active measurements","authors":"Ziad S. Haddad, S. Durden, Eastwood Im","doi":"10.1109/IGARSS.1997.608999","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.608999","url":null,"abstract":"A Bayesian method was adopted to combine the instantaneous measurements of the Tropical Rainfall Measuring Mission's (TRMM) radar and radiometer. The method makes multiple estimates of the rain-rate profile using the radar reflectivities assuming various plausible values for the drop size distribution (DSD) shape parameters, then selects those parameter values which produce estimates that are most consistent with the passive observations. The resulting estimates are expressed directly in terms of the DSD parameters, thus allowing one to calculate any rain-related quantity, such as rain rate profile, precipitating liquid water profile, etc. The Bayesian approach also allows one to calculate the \"error bar\" associated with each estimate.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"9 1","pages":"1642-1644 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75650820","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615900
D. Luca, K. Seidel, M. Datcu
The authors make a comparison of the state of the art algorithms for snow areas segmentation in optical satellite images. The comparison address the accuracy of the "forward model" used and the informational theoretical aspects characterising the detection/segmentation algorithms. They also, comparatively, introduce and a new approach: the segmentation of the snow cover as ill-posed inverse problem and its solution in the frame of the Bayesian inference.
{"title":"On the accuracy of snow cover segmentation in optical satellite images","authors":"D. Luca, K. Seidel, M. Datcu","doi":"10.1109/IGARSS.1997.615900","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615900","url":null,"abstract":"The authors make a comparison of the state of the art algorithms for snow areas segmentation in optical satellite images. The comparison address the accuracy of the \"forward model\" used and the informational theoretical aspects characterising the detection/segmentation algorithms. They also, comparatively, introduce and a new approach: the segmentation of the snow cover as ill-posed inverse problem and its solution in the frame of the Bayesian inference.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"27 1","pages":"411-413 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74655396","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615298
L. Tsang, K. Ding, S. Shih
In a dense, discrete random medium, the propagation and scattering of waves are not only affected by the individual properties of the particles such as sizes, shapes and permittivities, but also by the group properties such as the statistics of relative particle positions and relative orientations. In this paper, the authors investigate the interactions of electromagnetic waves with a dense medium consisting of spheroidal particles with random or aligned orientations. A multiple scattering formulation based on the volume integral equation and method of moments is developed. A shuffling process is used to generate the positions of densely packed spheroids within a cubic box. The scattering results are averaged over many realizations. Numerical results are presented for the extinction rates to illustrate the polarimetric scattering properties and the differences of scattering properties between nonspherical and spherical particles.
{"title":"Monte Carlo simulations of scattering of electromagnetic waves from dense distributions of nonspherical particles","authors":"L. Tsang, K. Ding, S. Shih","doi":"10.1109/IGARSS.1997.615298","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615298","url":null,"abstract":"In a dense, discrete random medium, the propagation and scattering of waves are not only affected by the individual properties of the particles such as sizes, shapes and permittivities, but also by the group properties such as the statistics of relative particle positions and relative orientations. In this paper, the authors investigate the interactions of electromagnetic waves with a dense medium consisting of spheroidal particles with random or aligned orientations. A multiple scattering formulation based on the volume integral equation and method of moments is developed. A shuffling process is used to generate the positions of densely packed spheroids within a cubic box. The scattering results are averaged over many realizations. Numerical results are presented for the extinction rates to illustrate the polarimetric scattering properties and the differences of scattering properties between nonspherical and spherical particles.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"07 1","pages":"919-921 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74685676","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615891
P.S. Leung, M. Adair, J. Lam
CCRS operates two remote sensing data satellite receiving ground stations (one in Prince Albert, Saskatchewan and the other in Cantley, Quebec), capable of receiving RADARSAT data, which are geographically distant from the RADARSAT mission control and data processing centres. In order to provide sensor data quickly and downlink quality assessment to the mission control centre and for other time-critical monitoring applications (quality assurance, ice monitoring, etc.), CCRS has developed two FastScan systems with industry. Each Fastscan is capable of processing the RADARSAT downlinked data into imagery and generates a moving window display (MWD) in real-time. The MWD imagery is also JPEG compressed into digital browse imagery which is suitable for electronic transmission to a remote site immediately following downlink reception. At the remote site, these JPEG files will then be re-assembled back and displayed on a MWD station as a complete swath, simulating a near real-time reduced resolution MWD. This paper describes the hardware and software development of the remote MWD station and its data communication link to the two satellite ground stations.
{"title":"Using JPEG data compression for remote moving window display","authors":"P.S. Leung, M. Adair, J. Lam","doi":"10.1109/IGARSS.1997.615891","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615891","url":null,"abstract":"CCRS operates two remote sensing data satellite receiving ground stations (one in Prince Albert, Saskatchewan and the other in Cantley, Quebec), capable of receiving RADARSAT data, which are geographically distant from the RADARSAT mission control and data processing centres. In order to provide sensor data quickly and downlink quality assessment to the mission control centre and for other time-critical monitoring applications (quality assurance, ice monitoring, etc.), CCRS has developed two FastScan systems with industry. Each Fastscan is capable of processing the RADARSAT downlinked data into imagery and generates a moving window display (MWD) in real-time. The MWD imagery is also JPEG compressed into digital browse imagery which is suitable for electronic transmission to a remote site immediately following downlink reception. At the remote site, these JPEG files will then be re-assembled back and displayed on a MWD station as a complete swath, simulating a near real-time reduced resolution MWD. This paper describes the hardware and software development of the remote MWD station and its data communication link to the two satellite ground stations.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"31 1","pages":"380-382 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72992207","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615795
T. Wahl
RADARSAT's capabilities for detection of fishing vessels have been tested and demonstrated. A centre has been established for routine analysis of RADARSAT images in Norwegian waters. RADARSAT observations are used regularly for optimizing the use of other assets (aircraft, helicopters, ships) in fisheries enforcement operations.
{"title":"Using RADARSAT-1 for fisheries enforcement operations","authors":"T. Wahl","doi":"10.1109/IGARSS.1997.615795","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615795","url":null,"abstract":"RADARSAT's capabilities for detection of fishing vessels have been tested and demonstrated. A centre has been established for routine analysis of RADARSAT images in Norwegian waters. RADARSAT observations are used regularly for optimizing the use of other assets (aircraft, helicopters, ships) in fisheries enforcement operations.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"10 1","pages":"47-49 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73042507","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606409
A. Hoyano, A. Iino
The authors employed side-looking airborne MSS data with high resolution to investigate the actual conditions of surface temperature distributions in an urban area with the complex ground surface form. In addition, airborne MSS and GIS data were used to calculate the HIP of various types of residential regions, and results verified its effectiveness for monitoring urban land use change and thermal environment.
{"title":"Application of high resolution side-looking MSS data to heat island potential in urban area","authors":"A. Hoyano, A. Iino","doi":"10.1109/IGARSS.1997.606409","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606409","url":null,"abstract":"The authors employed side-looking airborne MSS data with high resolution to investigate the actual conditions of surface temperature distributions in an urban area with the complex ground surface form. In addition, airborne MSS and GIS data were used to calculate the HIP of various types of residential regions, and results verified its effectiveness for monitoring urban land use change and thermal environment.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"24 1","pages":"1239-1242 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73044970","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606401
A. Gustavsson, B. Flood, P. Frolind, H. Hellsten, T. Jonsson, B. Larsson, G. Stenstrom, L. Ulander
The first airborne experiment with a new upgraded VHF SAR system was carried out in October 1996. A very flat island was selected as the test area to minimize the influence from the topography and facilitate the calibration and system analyses. Data acquired over the area with this new sensor, CARABAS II, have successfully been processed. The major problem encountered concerns large paired-echo sidelobes. To improve the image quality, a careful system analysis has been carried out to obtain correction coefficients for the signal processing to compensate the overall amplitude and phase ripple. The results presently available indicate resolution figures somewhat lower compared to the theoretical values. It is believed that the main explanation for the found performance degradation is insufficient information of the antenna characteristics and the measures currently taken for the radio frequency interference filtering.
{"title":"First airborne tests with the new VHF SAR CARABAS II","authors":"A. Gustavsson, B. Flood, P. Frolind, H. Hellsten, T. Jonsson, B. Larsson, G. Stenstrom, L. Ulander","doi":"10.1109/IGARSS.1997.606401","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606401","url":null,"abstract":"The first airborne experiment with a new upgraded VHF SAR system was carried out in October 1996. A very flat island was selected as the test area to minimize the influence from the topography and facilitate the calibration and system analyses. Data acquired over the area with this new sensor, CARABAS II, have successfully been processed. The major problem encountered concerns large paired-echo sidelobes. To improve the image quality, a careful system analysis has been carried out to obtain correction coefficients for the signal processing to compensate the overall amplitude and phase ripple. The results presently available indicate resolution figures somewhat lower compared to the theoretical values. It is believed that the main explanation for the found performance degradation is insufficient information of the antenna characteristics and the measures currently taken for the radio frequency interference filtering.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"37 1","pages":"1214-1216 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73239600","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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