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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 31, Issue 6 - Dec 2015
Volume 31, Issue 5 - Oct 2015
Volume 31, Issue 4 - Aug 2015
Volume 31, Issue 3 - Jun 2015
Volume 31, Issue 2 - Apr 2015
Volume 31, Issue 1 - Feb 2015
Selecting the target year
Improvement of MODIS land cover classification over the Asia-Oceania region
Park, Ji-Yeol ; Suh, Myoung-Seok ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 51~64
DOI : 10.7780/kjrs.2015.31.2.1
We improved the MODerate resolution Imaging Spectroradiometer (MODIS) land cover map over the Asia-Oceania region through the reclassification of the misclassified pixels. The misclassified pixels are defined where the number of land cover types are greater than 3 from the 12 years of MODIS land cover map. The ratio of misclassified pixels in this region amounts to 17.53%. The MODIS Normalized Difference Vegetation Index (NDVI) time series over the correctly classified pixels showed that continuous variation with time without noises. However, there are so many unreasonable fluctuations in the NDVI time series for the misclassified pixels. To improve the quality of input data for the reclassification, we corrected the MODIS NDVI using Correction based on Spatial and Temporal Continuity (CSaTC) developed by Cho and Suh (2013). Iterative Self-Organizing Data Analysis (ISODATA) was used for the clustering of NDVI data over the misclassified pixels and land cover types was determined based on the seasonal variation pattern of NDVI. The final land cover map was generated through the merging of correctly classified MODIS land cover map and reclassified land cover map. The validation results using the 138 ground truth data showed that the overall accuracy of classification is improved from 68% of original MODIS land cover map to 74% of reclassified land cover map.
Analysis on the Observation Environment of Surface Wind Using GIS data
Kwon, A-Rum ; Kim, Jae-Jin ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 65~75
DOI : 10.7780/kjrs.2015.31.2.2
In this study, the observation environment of surface wind at an automatic weather station (AWS 288) located at Naei-dong, Mirang-si was analyzed using a computational fluid dynamics (CFD) model and geographic information system (GIS). The 16 cases with different inflow directions were considered before and after construction of an apartment complex around the AWS 288. For three inflow directions (south-south-westerly, south-south-easterly, and north-north-westerly), flow characteristics around the AWS 288 were investigated in detail, focusing on the changes in wind speed and direction at the AWS location. There was marked difference in wind speed between before and after construction of the apartment complex in the south-south-westerly case. In the south-south-easterly and north-north-westerly cases which were frequently observed at the AWS 288, the construction of the apartment complex had no marked influence on the observation of surface wind.
A water stress evaluation over forest canopy using NDWI in Korean peninsula
Seong, Nohun ; Seo, Minji ; Lee, Kyeong-Sang ; Lee, Changsuk ; Kim, Hyunji ; Choi, Sungwon ; Han, Kyung-Soo ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 77~83
DOI : 10.7780/kjrs.2015.31.2.3
Leaf water content is one of important indicators that shows states of vegetation. It is important to monitor vegetation water content using remote sensing for forest management. In this study, we investigated the degree of water stress in Korean peninsula with Normalized Difference Water Index (NDWI) to study the water content of vegetation canopy. We calculated the NDWI using SPOT/VEGETATION S10 channel data over forest from 1999 to 2013. We calculated Simple Moving Average (SMA) to remove temporal noises of NDWI in time series, and used standardized anomaly to investigate temporal changes. We classified the NDWI anomalies into three scales (low, moderate, and high) in order to monitor intuitively. We also investigated suitability of the NDWI as an evaluation criterion about water stress of vegetation canopy by comparing and verifying forest fires damaged area over 150 ha. Consequently, huge forest fire occurred 24 times during the study period. Also, negative anomalies appeared in every forest fire location and their neighboring areas. In particular, we found huge forest fires where NDWI anomalies were in `high` scale.
Minimization of Motion Blur and Dynamic MTF Analysis in the Electro-Optical TDI CMOS Camera on a Satellite
Heo, HaengPal ; Ra, SungWoong ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 85~99
DOI : 10.7780/kjrs.2015.31.2.4
TDI CCD sensors are being used for most of the electro-optical camera mounted on the low earth orbit satellite to meet high performance requirements such as SNR and MTF. However, the CMOS sensors which have a lot of implementation advantages over the CCD, are being upgraded to have the TDI function. A few methods for improving the issue of motion blur which is apparent in the CMOS sensor than the CCD sensor, are being introduced. Each pixel can be divided into a few sub-pixels to be read more than once as is the same case with three or four phased CCDs. The fill factor can be reduced intentionally or even a kind of mask can also be implemented at the edge of pixels to reduce the blur. The motion blur can also be reduced in the TDI CMOS sensor by reducing the integration time from the full line scan time. Because the integration time can be controlled easily by the versatile control electronics, one of two performance parameters, MTF and SNR, can be concentrated dynamically depending on the aim of target imaging. MATLAB simulation has been performed and the results are presented in this paper. The goal of the simulation is to compare dynamic MTFs affected by the different methods for reducing the motion blur in the TDI CMOS sensor.
Enhancement of Ionospheric Correction Method Based on Multiple Aperture Interferometry
Lee, Won-Jin ; Jung, Hyung-Sup ; Chae, Sung-Ho ; Baek, Wonkyung ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 101~110
DOI : 10.7780/kjrs.2015.31.2.5
Synthetic Aperture Radar Interferometry (InSAR) is affected by various noise source such as atmospheric artifact, orbital error, processing noise etc.. Especially, one of the dominant noise source for long-wave SAR system, such as ALOS PALSAR (L-band SAR satellite) is the ionosphere effect because phase delays on radar pulse through the ionosphere are proportional to the radar wavelength. To avoid misinterpret of phase signal in the interferogram, it is necessary to detect and correct ionospheric errors. Recently, a MAI (Multipler Aperture SAR Interferometry) based ionospheric correction method has been proposed and considered one of the effective method to reduce phase errors by ionospheric effect. In this paper, we introduce the MAI-based method for ionospheric correction. Moreover we propose an efficient method that apply the method over non-coherent area using directional filter. Finally, we apply the proposed method to the ALOS PALSAR pairs, which include the west sea coast region in Korea. A polynomial fitting method, which is frequently adopted in InSAR processing, has been applied for the mitigation of phase distortion by the orbital error. However, the interferogram still has low frequency of Sin pattern along the azimuth direction. In contrast, after we applied the proposed method for ionospheric correction, the low frequency pattern is mitigated and the profile results has stable phase variation values within
. Our results show that this method provides a promising way to correct orbital and ionospheric artifact and would be important technique to improve the accuracy and the availability for L-band or P-band systems.
Detection of Group of Targets Using High Resolution Satellite SAR and EO Images
Kim, So-Yeon ; Kim, Sang-Wan ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 111~125
DOI : 10.7780/kjrs.2015.31.2.6
In this study, the target detection using both high-resolution satellite SAR and Elecro-Optical (EO) images such as TerraSAR-X and WorldView-2 is performed, considering the characteristics of targets. The targets of our interest are featured by being stationary and appearing as cluster targets. After the target detection of SAR image by using Constant False Alarm Rate (CFAR) algorithm, a series of processes is performed in order to reduce false alarms, including pixel clustering, network clustering and coherence analysis. We extend further our algorithm by adopting the fast and effective ellipse detection in EO image using randomized hough transform, which is significantly reducing the number of false alarms. The performance of proposed algorithm has been tested and analyzed on TerraSAR-X SAR and WordView-2 EO images. As a result, the average false alarm for group of targets is 1.8 groups/
and the false alarms of single target range from 0.03 to 0.3 targets/
. The results show that groups of targets are successfully identified with very low false alarms.
Estimation of Stand-level Above Ground Biomass in Intact Tropical Rain Forests of Brunei using Airborne LiDAR data
Yoon, Mihae ; Kim, Eunji ; Kwak, Doo-Ahn ; Lee, Woo-Kyun ; Lee, Jong-Yeol ; Kim, Moon-Il ; Lee, Sohye ; Son, Yowhan ; Salim, Kamariah Abu ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 127~136
DOI : 10.7780/kjrs.2015.31.2.7
This study aims to quantify the stand-level above ground biomass in intact tropical rain forest of Brunei using airborne LiDAR data. Twenty four sub-plots with the size of 0.09ha (
) were located in the 25ha study area along the altitudinal gradients. Field investigated data (Diameter at Breast Height (DBH) and individual tree position data) in sub-plots were used. Digital Surface Model (DSM), Digital Terrain Model (DTM) and Canopy Height Model (CHM) were constructed using airborne LiDAR data. CHM was divided into 24 sub-plots and 12 LiDAR height metrics were built. Multiple regression equation between the variables extracted from the LiDAR data and biomass calculated by using a allometric equation was derived. Stand-level biomass estimated from LiDAR data were distributed from 155.81 Mg/ha to 597.21 Mg/ha with the mean value of 366.48 Mg/ha. R-square value of the verification analysis was 0.84.
Improvement of Cloud-data Filtering Method Using Spectrum of AERI
Cho, Joon-Sik ; Goo, Tae-Young ; Shin, Jinho ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 137~148
DOI : 10.7780/kjrs.2015.31.2.8
The National Institute of Meteorological Research (NIMR) has operated the Fourier Transform InfraRed (FTIR) spectrometer which is the Atmospheric Emitted Radiance Interferometer (AERI) in Anmyeon island, Korea since June 2010. The ground-based AERI with similar hyper-spectral infrared sensor to satellite could be an alternative way to validate satellite-based remote sensing. In this regard, the NIMR has focused on the improvement of retrieval quality from the AERI, particularly cloud-data filtering method. The AERI spectrum which is measured on a typical clear day is selected reference spectrum and we used region of atmospheric window. We performed test of threshold in order to select valid threshold. We retrieved methane using new method which is used reference spectrum, and the other method which is used KLAPS cloud cover information, each retrieved methane was compared with that of ground-based in-situ measurements. The quality of AERI methane retrievals of new method was significantly more improved than method of used KLAPS. In addition, the comparison of vertical total column of methane from AERI and GOSAT shows good result.
A comparative study for reconstructing a high-quality NDVI time series data derived from MODIS surface reflectance
Lee, Jihye ; Kang, Sinkyu ; Jang, Keunchang ; Hong, Suk Young ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 149~160
DOI : 10.7780/kjrs.2015.31.2.9
A comparative study was conducted for alternative consecutive procedures of detection of cloud-contaminated pixels and gap-filling and smoothing of time-series data to produce high-quality gapless satellite vegetation index (i.e. Normalized Difference Vegetation Index, NDVI). Performances of five alternative methods for detecting cloud contaminations were tested with ground-observed cloudiness data. The data gap was filled with a simple linear interpolation and then, it was applied two alternative smoothing methods (i.e. Savitzky-Golay and Wavelet transform). Moderate resolution imaging spectroradiometer (MODIS) data were used in this study. Among the alternative cloud detection methods, a criterion of MODIS Band 3 reflectance over 10% showed best accuracy with an agreement rate of 85%, which was followed by criteria of MODIS Quality assessment (82%) and Band 3 reflectance over 20% (81%), respectively. In smoothing process, the Savitzky-Golay filter was better performed to retain original NDVI patterns than the wavelet transform. This study demonstrated an operational framework of gapdetection, filling, and smoothing to produce high-quality satellite vegetation index.
Pansharpening Method for KOMPSAT-2/3 High-Spatial Resolution Satellite Image
Oh, Kwan-Young ; Jung, Hyung-Sup ; Jeong, Nam-Ki ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 161~170
DOI : 10.7780/kjrs.2015.31.2.10
This paper presents an efficient image fusion method to be appropriate for the KOMPSAT-2 and 3 satellites. The proposed method is based on the well-established component substitution (CS) approach. The proposed method is divided into two parts: 1) The first step is to create a intensity image by the weighted-averaging operation of a multi-spectral (MS) image and 2) the second step is to produce an optimal high-frequency image using the statistical properties of the original MS and panchromatic (PAN) images. The performance of the proposed method is evaluated in both quantitative and visual analysis. Quantitative assessments are performed by using the relative global dimensional synthesis error (Spatial and Spectral ERGAS), the image quality index (Q4), and the spectral angle mapper index (SAM). The qualitative and quantitative assessment results show that the fusion performance of the proposed method is improved in both the spectral and spatial qualities when it is compared with previous CS-based fusion methods.
Calibration of a Rotating Stereo Line Camera System for Indoor Precise Mapping
Oh, Sojung ; Shin, Jinsoo ; Kang, Jeongin ; Lee, Impyeong ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 171~182
DOI : 10.7780/kjrs.2015.31.2.11
We propose a camera system to acquire indoor stereo omni-directional images and its calibration method. These images can be utilized for indoor precise mapping and sophisticated imagebased services. The proposed system is configured with a rotating stereo line camera system, providing stereo omni-directional images appropriate to stable stereoscopy and precise derivation of object point coordinates. Based on the projection model, we derive a mathematical model for the system calibration. After performing the system calibration, we can estimate object points with an accuracy of less than
in indoor space. The proposed system and calibration method will be applied to indoor precise 3D modeling.
DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities
Rhee, Sooahm ; Kim, Taejung ; Kim, Jaein ; Kim, Min Chul ; Chang, Hwi Jeong ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 183~191
DOI : 10.7780/kjrs.2015.31.2.12
If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.
Evaluation of Observation Environment for Weather Stations Located in Metropolitan Areas
Yang, Ho-Jin ; Kim, Jae-Jin ;
Korean Journal of Remote Sensing, volume 31, issue 2, 2015, Pages 193~203
DOI : 10.7780/kjrs.2015.31.2.13
In this study, effects of buildings and topography on observation environment of weather stations located on mountainous terrain in metropolitan areas are investigated using a computational fluid dynamics (CFD) model. In order to investigate the characteristics of flow pattern around the weather stations, geographic information system (GIS) data are used to construct surface boundary input data of the CFD model. In order to evaluate effects of buildings and topography on wind speed and direction at three weather stations located in Deajeon, Busan, and Gwangju., target areas around the weather stations are selected and 16 cases with different inflow directions for each target area are considered. The simulated wind speed and direction at the weather stations are compared with those of inflow. As a whole, wind speed at the weather stations decreases due to drag effects of the buildings and topography in the upwind regions. This study shows that GIS data and the CFD model are successfully applicable to evaluation of observation environment for weather stations.