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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Korean Journal of Remote Sensing
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Journal DOI :
The Korean Society of Remote Sensing
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Volume & Issues
Volume 27, Issue 6 - Dec 2011
Volume 27, Issue 5 - Oct 2011
Volume 27, Issue 4 - Aug 2011
Volume 27, Issue 3 - Jun 2011
Volume 27, Issue 2 - Apr 2011
Volume 27, Issue 1 - Feb 2011
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Region-based Building Extraction of High Resolution Satellite Images Using Color Invariant Features
Ko, A-Reum ; Byun, Young-Gi ; Park, Woo-Jin ; Kim, Yong-Il ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 75~87
DOI : 10.7780/kjrs.2011.27.2.075
This paper presents a method for region-based building extraction from high resolution satellite images(HRSI) using integrated information of spectral and color invariant features without user intervention such as selecting training data sets. The purpose of this study is also to evaluate the effectiveness of the proposed method by applying to IKONOS and QuickBird images. Firstly, the image is segmented by the MSRG method. The vegetation and shadow regions are automatically detected and masked to facilitate the building extraction. Secondly, the region merging is performed for the masked image, which the integrated information of the spectral and color invariant features is used. Finally, the building regions are extracted using the shape feature for the merged regions. The boundaries of the extracted buildings are simplified using the generalization techniques to improve the completeness of the building extraction. The experimental results showed more than 80% accuracy for two study areas and the visually satisfactory results obtained. In conclusion, the proposed method has shown great potential for the building extraction from HRSI.
Comparison of Correction Coefficients for the Non-uniformity of Pixel Response in Satellite Camera Electronics
Kong, Jong-Pil ; Lee, Song-Jae ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 89~98
DOI : 10.7780/kjrs.2011.27.2.089
Four kinds of gain and offset correction coefficients that are used to correct the nonuniformity between pixels are discussed. And their correction performance has been compared by performing image correction. using the correction coefficients calculated, on the real image data obtained from a newly fabricated camera electronics system. The performance of the correction coefficients depends in general on the number of the light input levels used to obtain the reference image. The result shows that, as expected obviously, when only two light input levles are used to obtain the reference image, even though its correction coefficients are relatively easily calculated, the correction performance is relatively poor. And with the number of light inputs increased to a value of larger than two, the correction performance is improved. It is noted, however, no Significant performance difference is found between the different correction coefficients employed.
The Parallax Correction to Improve Cloud Location Error of Geostationary Meteorological Satellite Data
Lee, Won-Seok ; Kim, Young-Seup ; Kim, Do-Hyeong ; Chung, Chu-Yong ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 99~105
DOI : 10.7780/kjrs.2011.27.2.099
This research presents the correction method to correct the location error of cloud caused by parallax error, and how the method can reduce the position error. The procedure has two steps: first step is to retrieve the corrected satellite zenith angle from the original satellite zenith angle. Second step is to adjust the location of the cloud with azimuth angle and the corrected satellite zenith angle retrieved from the first step. The position error due to parallax error can be as large as 60km in case of 70 degree of satellite zenith angle and 15 km of cloud height. The validation results by MODIS(Moderate-Resolution Imaging Spectrometer) show that the correction method in this study properly adjusts the original cloud position error and can increase the utilization of geostationary satellite data.
Particulate Organic Carbon (POC) Algorithms for the southwestern part of the East Sea during spring-summer period using MODIS Aqua
Hong, Gi-Hoon ; Ahn, Yu-Hwan ; Son, Young-Baek ; Ryu, Joo-Hyung ; Kim, Chang-Joon ; Yang, Dong-Beom ; Kim, Young-Il ; Chung, Chang-Soo ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 107~120
DOI : 10.7780/kjrs.2011.27.2.107
Several MODIS AQUA products have been compared with shipboard data to assess the possibility of using remote sensing to estimate particulate organic carbon (POC) concentration in the surface waters of the East Sea. A total of 30 POC profiles obtained in spring and summer seasons of the years of 2006~2010 were compared with remote sensing reflectance at various wavelengths and diffuse attenuation coefficient at 490 nm observed by MODIS AQUA. The algorithm thus established was
) with root mean square error of 20.9 mg
. Remotely sensed POC contents derived using our algorithm appeared also not to be affected by the presence of non-POC component in suspended particulate matter. Therefore this algorithm could be applied to obtain POC concentration over the East Sea using MODIS Aqua observation.
Reconstruction of 3D Building Model from Satellite Imagery Based on the Grouping of 3D Line Segments Using Centroid Neural Network
Woo, Dong-Min ; Park, Dong-Chul ; Ho, Hai-Nguyen ; Kim, Tae-Hyun ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 121~130
DOI : 10.7780/kjrs.2011.27.2.121
This paper highlights the reconstruction of the rectilinear type of 3D rooftop model from satellite image data using centroid neural network. The main idea of the proposed 3D reconstruction method is based on the grouping of 3D line segments. 3D lines are extracted by 2D lines and DEM (Digital Elevation Map) data evaluated from a pair of stereo images. Our grouping process consists of two steps. We carry out the first grouping process to group fragmented or duplicated 3D lines into the principal 3D lines, which can be used to construct the rooftop model, and construct the groups of lines that are parallel each other in the second step. From the grouping result, 3D rooftop models are reconstructed by the final clustering process. High-resolution IKONOS images are utilized for the experiments. The experimental result's indicate that the reconstructed building models almost reflect the actual position and shape of buildings in a precise manner, and that the proposed approach can be efficiently applied to building reconstruction problem from high-resolution satellite images of an urban area.
Advanced Microwave Scanning Radiometer E Soil Moisture Evaluation for Haenam Flux Monitoring Network Site
Hur, Yoo-Mi ; Choi, Min-Ha ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 131~140
DOI : 10.7780/kjrs.2011.27.2.131
In this study, temporal variations of the Advanced Microwave Scanning Radiometer E (AMSR-E) soil moisture products were evaluated using ground based measurements from the Haenam flux monitoring network site for two years (2004 and 2006). Even if there were major comparison issues including spatial resolutions, AMSR-E soil moisture production showed a great potential to replicate temporal variability patterns with ground based measurements. Additional intensive validation efforts should be conducted at a variety of field conditions including vegetation type for better utilization of remotely sensed soil moisture and understanding of the land surface-atmosphere interactions in the view of hydrometeorology.
Registration between High-resolution Optical and SAR Images Using linear Features
Han, You-Kyung ; Kim, Duk-Jin ; Kim, Yong-Il ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 141~150
DOI : 10.7780/kjrs.2011.27.2.141
Precise image-to-image registration is required to process multi-sensor data together. The purpose of this paper is to develop an algorithm that register between high-resolution optical and SAR images using linear features. As a pre-processing step, initial alignment was fulfilled using manually selected tie points to remove any dislocations caused by scale difference, rotation, and translation of images. Canny edge operator was applied to both images to extract linear features. These features were used to design a cost function that finds matching points based on their similarity. Outliers having larger geometric differences than general matching points were eliminated. The remaining points were used to construct a new transformation model, which was combined the piecewise linear function with the global affine transformation, and applied to increase the accuracy of geometric correction.
PGA Implementation Technique for Stripmap SAR Signal Processing
Yoon, Sang-Ho ; Koh, Bo-Yeon ; Kong, Young-Kyun ; Shin, Hee-Sub ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 151~161
DOI : 10.7780/kjrs.2011.27.2.151
PGA(Phase Gradient Autofocus) is a representative autofocus technique to improve the SAR(Synthetic Aperture Radar) image quality. PGA can estimate high order phase errors and have good robustness in noisy environments. However, PGA is not suitable to apply to the stripmap mode data directly because it is based on the spotlight mode operation. In this paper, the PGA implementation technique for stripmap mode data and the method of ROI(Region of Interest) selection that affects severely on PGA performance have been proposed. The proposed technique was verified by the point target simulation first, and was applied to the real SAR signal data acquired by the flight test. Finally, the significant improvements in focusing quality were shown in the processed SAR images using the proposed method.
Change of Refractive Index of Air in X-band due to Atmospheric Humidity, Temperature and Pressure measured by GB-SAR Interferometry
Lee, Jae-Hee ; Lee, Hoon-Yol ; Cho, Seong-Jun ; Sung, Nak-Hoon ; Kim, Kwang-Eun ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 163~170
DOI : 10.7780/kjrs.2011.27.2.163
In this paper, we analyzed the phase change of 5-triangular trihedral comer reflectors by using X-band Ground-Based Synthetic Aperture Radar (GB-SAR) system. Each reflector was set as a stationary target at a different distance from the system. We obtained total 123 full-polarization images during 40 hours continuously at 20 minute interval. Results of SAR interferometric analysis showed phase changes of maximum 2 radians and followed similar pattern with atmospheric data. Through a GB-SAR phase formula that includes refractive index in the air, we performed regression analysis for refractive index as a function of atmospheric humidity, temperature and pressure. As a result, refractive index of air in X-band showed relatively high coefficient of determination with humidity and temperature (0.72 and 0.76 on average, respectively) but not so with pressure (0.34). The refractive index of air in X -band changed by
during the measuring time with a humidity range of 50% ~ 90% and a temperature range of
. We expect that a total expression of refractive index of air including humidity, temperature and pressure can be calculated when more extensive data would be collected at various atmospheric conditions.
Topographic Phase Correction of MAl (Multiple Aperture SAR Interferometry) Interferogram
Jung, Hyung-Sup ; Lu, Zhong ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 171~180
DOI : 10.7780/kjrs.2011.27.2.171
MAI (multiple aperture SAR interferometry) method has been recently developed to improve the measurement accuracy of along-track surface deformation. By means of split-beam SAR processing, this novel technique produces forward- and backward-looking interferograms, which are combined to generate an MAI interferogram. The along-track surface deformation can then be derived from the MAI interferogram. The achieved accuracy of the along-track surface deformation is approximately 8 cm for interferograms with a coherence of 0.6. It is commonly recognized that the topographic phase on an MAI interferogram can be ignored. However, in this paper, we have generated an MAI interferogram from an ALOS P ALSAR interferometric pair spanning the 2010 Haiti earthquake, and shown that the topographic phase distortion on the MAI interferogram can reach to about
rad./m. This distortion corresponds to an along-track surface deformation of about 98 cm. We have proposed an efficient method to remove the topographic phase distortion. After correcting the distortion, the topographic phase distortion on the MAI interferogram is reduced to about
rad./m. This means that the proposed method can effectively remove the topographic distortion on the MAI interferogram to improve along-track surface deformation measurement.
High Resolution InSAR Phase Simulation using DSM in Urban Areas
Yoon, Geun-Won ; Kim, Sang-Wan ; Lee, Yong-Woong ; Lee, Dong-Cheon ; Won, Joong-Sun ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 181~190
DOI : 10.7780/kjrs.2011.27.2.181
Since the radar satellite missions such as TerraSAR-X and COSMO-SkyMed were launched in 2007, the spatial resolution of spaceborne SAR(Synthetic Aperture Radar) images reaches about 1 meter at spotlight mode. In 2011, the first Korean SAR satellite, KOMPSAT-5, will be launched, operating at X-band with the highest spatial resolution of 1 m as well. The improved spatial resolution of state-of-the-art SAR sensor suggests expanding InSAR(Interferometric SAR) analysis in urban monitoring. By the way, the shadow and layover phenomena are more prominent in urban areas due to building structure because of inherent side-looking geometry of SAR system. Up to date the most conventional algorithms do not consider the return signals at the frontage of building during InSAR phase and SAR intensity simulation. In this study the new algorithm introducing multi-scattering in layover region is proposed for phase and intensity simulation, which is utilized a precise LIDAR DSM(Digital Surface Model) in urban areas. The InSAR phases simulated by the proposed method are compared with TerraSAR-X spotlight data. As a result, both InSAR phases are well matched, even in layover areas. This study will be applied to urban monitoring using high resolution SAR data, in terms of change detection and displacement monitoring at the scale of building unit.
Monitoring soybean growth using L, C, and X-bands automatic radar scatterometer measurement system
Kim, Yi-Hyun ; Hong, Suk-Young ; Lee, Hoon-Yol ; Lee, Jae-Eun ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 191~201
DOI : 10.7780/kjrs.2011.27.2.191
Soybean has widely grown for its edible bean which has numerous uses. Microwave remote sensing has a great potential over the conventional remote sensing with the visible and infrared spectra due to its all-weather day-and-night imaging capabilities. In this investigation, a ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the crop conditions of a soybean field. Polarimetric backscatter data at L, C, and X-bands were acquired every 10 minutes on the microwave observations at various soybean stages. The polarimetric scatterometer consists of a vector network analyzer, a microwave switch, radio frequency cables, power unit and a personal computer. The polarimetric scatterometer components were installed inside an air-conditioned shelter to maintain constant temperature and humidity during the data acquisition period. The backscattering coefficients were calculated from the measured data at incidence angle
and full polarization (HH, VV, HV, VH) by applying the radar equation. The soybean growth data such as leaf area index (LAI), plant height, fresh and dry weight, vegetation water content and pod weight were measured periodically throughout the growth season. We measured the temporal variations of backscattering coefficients of the soybean crop at L, C, and X-bands during a soybean growth period. In the three bands, VV-polarized backscattering coefficients were higher than HH-polarized backscattering coefficients until mid-June, and thereafter HH-polarized backscattering coefficients were higher than VV-, HV-polarized back scattering coefficients. However, the cross-over stage (HH > VV) was different for each frequency: DOY 200 for L-band and DOY 210 for both C and X-bands. The temporal trend of the backscattering coefficients for all bands agreed with the soybean growth data such as LAI, dry weight and plant height; i.e., increased until about DOY 271 and decreased afterward. We plotted the relationship between the backscattering coefficients with three bands and soybean growth parameters. The growth parameters were highly correlated with HH-polarization at L-band (over r=0.92).
Design and Prototype Implementation of Hybrid App for Geo-Metadata Searching of Satellite Images
Kim, Kwang-Seob ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 27, issue 2, 2011, Pages 203~211
DOI : 10.7780/kjrs.2011.27.2.203
Recently, information communication technologies such as smartphone or mobile app greatly affect various application fields including geo-spatial domain. And development scheme of mobile web app or hybrid app regards as the most important computing technology which is combined each advantage of mobile app and mobile web. Despite these trends, it is general case that satellite images are used for the background image for other contents services. With this motivation, hybrid app for geo-metadata as the base for dissemination and service is designed and implemented as the prototype, in this study. At the design stage, HTML5, which is the core technology on an international standardization process for hybrid app, is applied. In the implementation, PhoneGap and Sencha Touch as mobile SDK(Software Development Kit) supporting HTML5 on cross-platform in open sources are used. In prototype, some KOMPSAT-2 images covering small area and mandatory elements in geo-metafata standard are tested. As mobile industry applications and business service models based on satellite images on mobile platform are progressing and diversifying, it is expected that this approach and implemented prototype are considered as an important reference.