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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
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Classification of Multi-temporal SAR Data by Using Data Transform Based Features and Multiple Classifiers
Yoo, Hee Young ; Park, No-Wook ; Hong, Sukyoung ; Lee, Kyungdo ; Kim, Yeseul ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 205~214
DOI : 10.7780/kjrs.2015.31.3.1
In this study, a novel land-cover classification framework for multi-temporal SAR data is presented that can combine multiple features extracted through data transforms and multiple classifiers. At first, data transforms using principle component analysis (PCA) and 3D wavelet transform are applied to multi-temporal SAR dataset for extracting new features which were different from original dataset. Then, three different classifiers including maximum likelihood classifier (MLC), neural network (NN) and support vector machine (SVM) are applied to three different dataset including data transform based features and original backscattering coefficients, and as a result, the diverse preliminary classification results are generated. These results are combined via a majority voting rule to generate a final classification result. From an experiment with a multi-temporal ENVISAT ASAR dataset, every preliminary classification result showed very different classification accuracy according to the used feature and classifier. The final classification result combining nine preliminary classification results showed the best classification accuracy because each preliminary classification result provided complementary information on land-covers. The improvement of classification accuracy in this study was mainly attributed to the diversity from combining not only different features based on data transforms, but also different classifiers. Therefore, the land-cover classification framework presented in this study would be effectively applied to the classification of multi-temporal SAR data and also be extended to multi-sensor remote sensing data fusion.
Development of Android-Based Photogrammetric Unmanned Aerial Vehicle System
Park, Jinwoo ; Shin, Dongyoon ; Choi, Chuluong ; Jeong, Hohyun ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 215~226
DOI : 10.7780/kjrs.2015.31.3.2
Normally, aero photography using UAV uses about 430 MHz bandwidth radio frequency (RF) modem and navigates and remotely controls through the connection between UAV and ground control system. When using the exhausting method, it has communication range of 1-2 km with frequent cross line and since wireless communication sends information using radio wave as a carrier, it has 10 mW of signal strength limitation which gave restraints on life my distance communication. The purpose of research is to use communication technologies such as long-term evolution (LTE) of smart camera, Bluetooth, Wi-Fi and other communication modules and cameras that can transfer data to design and develop automatic shooting system that acquires images to UAV at the necessary locations. We conclude that the android based UAV filming and communication module system can not only film images with just one smart camera but also connects UAV system and ground control system together and also able to obtain real-time 3D location information and 3D position information using UAV system, GPS, a gyroscope, an accelerometer, and magnetic measuring sensor which will allow us to use real-time position of the UAV and correction work through aerial triangulation.
Change detection algorithm based on amplitude statistical distribution for high resolution SAR image
Lee, Kiwoong ; Kang, Seoli ; Kim, Ahleum ; Song, Kyungmin ; Lee, Wookyung ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 227~244
DOI : 10.7780/kjrs.2015.31.3.3
Synthetic Aperture Radar is able to provide images of wide coverage in day, night, and all-weather conditions. Recently, as the SAR image resolution improves up to the sub-meter level, their applications are rapidly expanding accordingly. Especially there is a growing interest in the use of geographic information of high resolution SAR images and the change detection will be one of the most important technique for their applications. In this paper, an automatic threshold tracking and change detection algorithm is proposed applicable to high-resolution SAR images. To detect changes within SAR image, a reference image is generated using log-ratio operator and its amplitude distribution is estimated through K-S test. Assuming SAR image has a non-gaussian amplitude distribution, a generalized thresholding technique is applied using Kittler and Illingworth minimum-error estimation. Also, MoLC parametric estimation method is adopted to improve the algorithm performance on rough ground target. The implemented algorithm is tested and verified on the simulated SAR raw data. Then, it is applied to the spaceborne high-resolution SAR images taken by Cosmo-Skymed and KOMPSAT-5 and the performances are analyzed and compared.
Testing Application of Web Processing Service (WPS) Standard to Satellite Image Processing
Yoon, Gooseon ; Lee, Kiwon ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 245~253
DOI : 10.7780/kjrs.2015.31.3.4
According to wide civilian utilization of multi sensor satellite information, practical needs for fusion processing and interoperable operation with multiple remote sensing imageries within distributed remote server are being increased. For this task, OGC standards with respect to satellite images and its derived products are crucial factors. This study is to present an applicability of WPS through testing implementation of image processing algorithm. Open sources such as Geoserver and OTB were used linked to WPS application for implementation. WPS can be solely used for web service supporting geoprocessing algorithm, but technical consideration compromising with other important standard protocols including WMS, WFS, WCS, or WMTS is necessary to build full featured geo web for remote sensing imageries. It is expected that application of these international standards for geo-spatial information is an important approach to produce value-added results by interoperable processing between interorganizations or information dissemination containing practical satellite image processing functionalities.
Development and Evaluation of a Texture-Based Urban Change Detection Method Using Very High Resolution SAR Imagery
Kang, Ah-Reum ; Byun, Young-Gi ; Chae, Tae-Byeong ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 255~265
DOI : 10.7780/kjrs.2015.31.3.5
Very high resolution (VHR) satellite imagery provide valuable information on urban change monitoring due to multi-temporal observation over large areas. Recently, there has been increased interest in the urban change detection technique using VHR Synthetic Aperture Radar (SAR) imaging system, because it can take images regardless of solar illumination and weather condition. In this paper, we proposed a texture-based urban change detection method using the VHR SAR texture features generated from Gray-Level Co-Occurrence Matrix (GLCM). In order to evaluate the efficiency of the proposed method, the result was compared, visually and quantitatively, with the result of Non-Coherent Change Detection (NCCD) which is widely used for the change detection of VHR SAR image. The experimental results showed the greater detection accuracy and the visually satisfactory result compared with the NCCD method. In conclusion, the proposed method has shown a great potential for the extraction of urban change information from VHR SAR imagery.
Development of a General Purpose Simulator for Evaluation of Vehicle LIDAR Sensors and its Application
Im, Ljunghyeok ; Choi, Kyongah ; Jeong, Jihee ; Lee, Impyeong ;
Korean Journal of Remote Sensing, volume 31, issue 3, 2015, Pages 267~279
DOI : 10.7780/kjrs.2015.31.3.6
In the development of autonomous vehicles, the importance of LIDAR sensors becomes larger. For sensor selection or algorithm development, it is difficult to test expensive LIDAR sensors mounted on a vehicle under various driving environment. In this study, we developed a simulator that is generally applicable for various vehicle LIDAR sensors based on the generalized geometric modeling of the common processes associated with vehicle LIDAR sensors. By configuring this simulator with the specific sensors being widely used, we performed the data simulation and quality analysis. Also, we applied the simulation data to obstacle detection and evaluated the applicability of the selected sensor. The developed simulator enables various experiments and algorithm development in parallel with hardware implementation prior to the deployment and operation of a sensor.