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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Remote Sensing
Journal Basic Information
Journal DOI :
The Korean Society of Remote Sensing
Editor in Chief :
Volume & Issues
Volume 21, Issue 6 - Dec 2005
Volume 21, Issue 5 - Oct 2005
Volume 21, Issue 4 - Aug 2005
Volume 21, Issue 3 - Jun 2005
Volume 21, Issue 2 - Apr 2005
Volume 21, Issue 1 - Feb 2005
Selecting the target year
Development of Processing System of the Direct-broadcast Data from the Atmospheric Infrared Sounder (AIRS) on Aqua Satellite
Lee Jeongsoon ; Kim Moongyu ; Lee Chol ; Yang Minsil ; Park Jeonghyun ; Park Jongseo ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 371~382
We present a processing system for the Atmospheric Infrared Sounder (AIRS) sounding suite onboard Aqua satellite. With its unprecedented 2378 channels in IR bands, AIRS aims at achieving the sounding accuracy of radiosonde (1 K in 1-km layer for temperature and
in 2-km layer for humidity). The core of the processor is the International MODIS/AIRS Processing Package (IMAPP) that performs the geometric and radiometric correction for generation of Level 1 brightness temperature and Level 2 geophysical parameters retrieval. The processor can produce automatically from received raw data to Level 2 geophysical parameters. As we process the direct-broadcast data almost for the first time among the AIRS direct-broadcast community, a special attention is paid to understand and verify the Level 2 products. This processor includes sub-systems, that is, the near real time validation system which made the comparison results with in-situ measurement data, and standard digital information system which carry out the data format conversion into GRIdded Binary II (GRIB II) standard format to promote active data communication between meteorological societies. This processing system is planned to encourage the application of geophysical parameters observed by AIRS to research the aqua cycle in the Korean peninsula.
Improving Urban Vegetation Classification by Including Height Information Derived from High-Spatial Resolution Stereo Imagery
Myeong, Soo-Jeong ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 383~392
Vegetation classes, especially grass and tree classes, are often confused in classification when conventional spectral pattern recognition techniques are used to classify urban areas. This paper reports on a study to improve the classification results by using an automated process of considering height information in separating urban vegetation classes, specifically tree and grass, using three-band, high-spatial resolution, digital aerial imagery. Height information was derived photogrammetrically from stereo pair imagery using cross correlation image matching to estimate differential parallax for vegetation pixels. A threshold value of differential parallax was used to assess whether the original class was correct. The average increase in overall accuracy for three test stereo pairs was
, and detailed examination showed that pixels reclassified as grass improved the overall accuracy more than pixels reclassified as tree. Visual examination and statistical accuracy assessment of four test areas showed improvement in vegetation classification with the increase in accuracy ranging from
. Vegetation classification can, in fact, be improved by adding height information to the classification procedure.
Effects of Uncertain Spatial Data Representation on Multi-source Data Fusion: A Case Study for Landslide Hazard Mapping
Park No-Wook ; Chi Kwang-Hoon ; Kwon Byung-Doo ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 393~404
As multi-source spatial data fusion mainly deal with various types of spatial data which are specific representations of real world with unequal reliability and incomplete knowledge, proper data representation and uncertainty analysis become more important. In relation to this problem, this paper presents and applies an advanced data representation methodology for different types of spatial data such as categorical and continuous data. To account for the uncertainties of both categorical data and continuous data, fuzzy boundary representation and smoothed kernel density estimation within a fuzzy logic framework are adopted, respectively. To investigate the effects of those data representation on final fusion results, a case study for landslide hazard mapping was carried out on multi-source spatial data sets from Jangheung, Korea. The case study results obtained from the proposed schemes were compared with the results obtained by traditional crisp boundary representation and categorized continuous data representation methods. From the case study results, the proposed scheme showed improved prediction rates than traditional methods and different representation setting resulted in the variation of prediction rates.
Detection of Microphytobenthos in the Saemangeum Tidal Flat by Linear Spectral Unmixing Method
Lee Yoon-Kyung ; Ryu Joo-Hyung ; Won Joong-Sun ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 405~415
It is difficult to classify tidal flat surface that is composed of a mixture of mud, sand, water and microphytobenthos. We used a Linear Spectral Unmixing (LSU) method for effectively classifying the tidal flat surface characteristics within a pixel. This study aims at 1) detecting algal mat using LSU in the Saemangeum tidal flats, 2) determining a suitable end-member selection method in tidal flats, and 3) find out a habitual characteristics of algal mat. Two types of end-member were built; one is a reference end-member derived from field spectrometer measurements and the other image end-member. A field spectrometer was used to measure spectral reflectance, and a spectral library was accomplished by shape difference of spectra, r.m.s. difference of spectra, continuum removal and Mann-Whitney U-test. Reference end-members were extracted from the spectral library. Image end-members were obtained by applying Principle Component Analysis (PCA) to an image. The LSU method was effective to detect microphytobenthos, and successfully classified the intertidal zone into algal mat, sediment, and water body components. The reference end-member was slightly more effective than the image end-member for the classification. Fine grained upper tidal flat is generally considered as a rich habitat for algal mat. We also identified unusual microphytobenthos that inhabited coarse grained lower tidal flats.
MRF-based Fuzzy Classification Using EM Algorithm
Lee, Sang-Hoon ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 417~423
A fuzzy approach using an EM algorithm for image classification is presented. In this study, a double compound stochastic image process is assumed to combine a discrete-valued field for region-class processes and a continuous random field for observed intensity processes. The Markov random field is employed to characterize the geophysical connectedness of a digital image structure. The fuzzy classification is an EM iterative approach based on mixture probability distribution. Under the assumption of the double compound process, given an initial class map, this approach iteratively computes the fuzzy membership vectors in the E-step and the estimates of class-related parameters in the M-step. In the experiments with remotely sensed data, the MRF-based method yielded a spatially smooth class-map with more distinctive configuration of the classes than the non-MRF approach.
Development of Agriculture-related Data Inventories Using IKONOS Images
Kim Seong-Joon ; Lim Hyuk-Jin ; Hong Seong-Min ; Lee Mi-Seon ; Park Geun-Ae ; Kwon Hyung-Joong ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 425~431
This paper describes the method of using IKONOS imagery in the development of agriculture-related data inventories. Temporally different three images of panchromatic (1m resolution) and multi-spectral bands (4m resolution) were used to obtain the distribution and characteristics of rice, pear, grape, red pepper, garlic, and reservoir surface area with the field surveys. The result of this study suggests the utility of KOMPSAT-II, which increases the use of the crop and water resources data in rural areas by accumulating temporal data inventories.
Virtual Reality and Internet GIS for Highway Simulation Based on the ASE
Choi Hyun ;
Korean Journal of Remote Sensing, volume 21, issue 5, 2005, Pages 433~443
This paper show that, without installation of expensive VR (Virtual Reality) program, the sharing information is possible through posting three-dimensional road structures on the web, and avoiding the conventional top-down decision making method, fast bottom-up communication is possible base on the Virtual GIS (Geographic Information System). In this paper, using Viewpoint Scene Builder, internet-based software, the transformation was conducted to give pertinent type for web posting. In order to use the completed route at the scene builder, the output with ASCII Export is required, and ASE (ASCII Scene Export) contains the property information including the coordinate and frame of mesh vertex. Through in advance recognition of the problems regarding route design and petition due to environmental rights infringement, the time and cost due to design alteration can be reduced. It's difficult to provide VR based on the internet because file that embodied with internet GIS was complicated and its capacity comes to scores of mega-bites. But, this study provides VR with internet according to a basis by simplification of files.