• 제목/요약/키워드: Remote Sensing Data

검색결과 3,516건 처리시간 0.029초

The Extraction of End-Pixels in Feature Space for Remote Sensing Data and Its Applications

  • YUAN Lu;SUN Wei-dong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.136-139
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    • 2004
  • The extraction of 'end-pixels' (i.e. end-members) aims to quantify the abundance of different materials in a single pixel, which becomes popular in the subpixel analysis for hyperspectral dataset. In this paper, we present a new concept called 'End-Pixel of Features (EPF)' to extends the concept of end-pixels for multispectral data and even panchromatic data. The algorithm combines the advantages of previous simplex and clustering methods to search the EPFs in the feature space and reduce the effects of noise. Some experimental results show that, the proposed methodology can be successfully used to hyperspectral data and other remote sensing data.

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JERS-1 SAR DATA CHARACTERISTICS FOR GEOLOGICAL APPLICATIONS

  • Moon, Wooil-M.;Li, Bo;Won, J.S.;Yoo, H.W.;Singhroy, V.;Yamaguch, Y.
    • 대한원격탐사학회지
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    • 제10권2호
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    • pp.161-170
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    • 1994
  • The JERS-1 is an Earth Resources Satellite launched by NASDA (Natinal Space Development Agency) of Japan, in February in 1992 and has two sensors; SAR(L-Band Synthetic Aperture Radar) and OPS (SWIR and VNIR radiometers). In this research note, the basic properties and data characteristics of the SAR data are summarized based on the observations made on the data sets received for the Nahanni Canadian test site, Northwest Territories. The JERS-1 SAR data quality. including the spatial resolution of the data, is, in general, excellent for most geological applications.

원격탐사 영상의 감독분류를 위한 개선된 하이브리드 c-Means 군집화 알고리즘 (Improved Algorithm of Hybrid c-Means Clustering for Supervised Classification of Remote Sensing Images)

  • 전영준;김진일
    • 융합신호처리학회논문지
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    • 제8권3호
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    • pp.185-191
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    • 2007
  • 윈격탐사 영상은 파장대에 따라 나누어진 여러 개의 밴드로부터 수집된 다중분광 이미지 데이터이다. 위성영상 분류는 원격탐사 처리 과정에 있어서 가장 중요한 분석 기법으로써 영상을 구성하는 각각의 화소들 중 비슷한 분광 특성을 갖는 것끼리 집단화시켜주는 방법이다. 본 논문에서는 PFCM 알고리즘을 응용한 원격탐사 영상의 패턴분류 방법에 관하여 연구하였다. PFCM 알고리즘은 각 데이터와 특정 클러스터 중심과의 거리에 대한 소속정도를 고려한 FCM 클러스터링 알고리즘과 데이터와 해당 클러스터 중심과의 거리에 의존하여 패턴의 전형성(typicality)을 고려한 PCM 클러스터링 알고리즘을 결합한 방법이다. 본 연구에서는 분류 항목별 학습데이터를 선정한 후 이를 PFCM 알고리즘에 적용하여 감독분류를 수행하였다. Landsat TM과 IKONOS 원격탐사 위성영상을 이용하여 PFCM 알고리즘의 적용성을 검증하였다. PFCM 알고리즘을 이용한 감독분류는 PCM, FCM 분류방법보다 좋은 결과를 보여주었으며, 또한 전통적인 분류방법인 최대우도분류보다도 정확도가 더 높은 결과를 보여주었다.

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PROBABILISTIC LANDSLIDE SUSCEPTIBILITY AND FACTOR EFFECT ANALYSIS

  • LEE SARO;AB TALIB JASMI
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.306-309
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    • 2004
  • The susceptibility of landslides and the effect of landslide-related factors at Penang in Malaysia using the Geographic Information System (GIS) and remote sensing data have been evaluated. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from Landsat TM (Thermatic Mapper) satellite images; and the vegetation index value from SPOT HRV (High Resolution Visible) satellite images. Landslide hazardous areas were analysed and mapped using the landslide-occurrence factors employing the probability-frequency ratio method. To assess the effect of these factors, each factor was excluded from the analysis, and its effect verified using the landslide location data. As a result, land 'cover had relatively positive effects, and lithology had relatively negative effects on the landslide susceptibility maps in the study area. In addition, the landslide susceptibility maps using the all factors showed the relatively good results.

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SATELLITE MONITORING OF OIL SPILLS CAUSED BY THE HEBEI SPIRIT ACCIDENT

  • Yang, Chan-Su;Yeom, Gi-Ho;Chang, Ji-Seong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.368-368
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    • 2008
  • Oil spills are a principal factor of the ocean pollution. The complicated problems involved in detecting oil spills are usually due to varying wind and sea surface condition such as ocean wave and current. The Hebei Spirit accident was happened in the west sea ($36^{\circ}$41'04" N, $126^{\circ}$03'12" E) near about 8 km distant from Tae-An, Korea on December 7, 2007. The aim of this work is to improve the detection and classification performance in order to define a more accurate training set and identifying the feature of oil spill region. This paper deals with an optimization technique for the detection and classification scheme using multi-frequency and multi-polarization SAR and optical image data sets of the oil spilled sea. The used image data are the ENVISAT ASAR WS and Radarsat-1 of C-band and ALOS PALSAR of L-band SAR data and KOMPSAT-2 optical images together with meteorological or oceanographic data. Both the theory and the experimental results obtained are discussed.

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원격 탐사 자료와 현장 조사 자료를 이용한 기저면적 예측 지도 제작 (Basal Area Mapping using Remote Sensing and Ecological Data)

  • 이정빈;;허준
    • 대한원격탐사학회지
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    • 제24권6호
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    • pp.621-629
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    • 2008
  • 인도의 Tamil Nadu 지역을 대상지역으로 선택하여 Landsat ETM+ 영상과 현장 조사 자료(기저면적, 개체 수, 종의 수)를 취득하였다. 취득된 자료를 통하여 (1) 영상의 분류, (2) 식생지수 영상의 추출(NDVI, Tasseled Cap 토양명도, 녹색식생, 토양습도), (3) 가장 상관관계가 높은 결과를 보인 NDVI와 기저면적(Basal area)을 이용한 식생다양성 분포 예측 지도 제작이 이루어 졌다. 기저면적과 NDVI가 가장 높은 상관관계를 가지며 대상지역 영상분류 결과 69%정도의 정확도를 보였다.

원격탐사자료에 의한 해남지역 비금속광상 및 관련 특성 추출을 위한 연구 (A Study on Extraction of Non-metallic Ore Deposits from Remote Sensing Data of the Haenam Area)

  • 박인석;박종남
    • 대한원격탐사학회지
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    • 제8권2호
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    • pp.105-123
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    • 1992
  • A study was made on the feature extraction for non-metallic one deposits and their related geology using the Remote Sensing and Airborne Radiometric data. The area chosen is around the Haenam area, where dickite and Quarzite mines are distributed in. The geology of the area consists mainly of Cretaceous volcanics and PreCambrian metamorphic. The methods applied are study on the reflectance characteristics of minerals and rocks sampled in the study area, and the feature extraction extraction of histogram normalized images for Landsat TM and Airborne Radiometric data, and finally evaluation of applicability of some useful pattern recognition techniques for regional lithological mapping. As a result, reflectances of non-metallic minerals are much higher than rock samples in the area. However, low grade dickites are slightly higher than rock samples, probably due to their greyish colour and also their textural features which may scatter the reflectance and may be capable of capturing much hychoryl ions. The reflectances of rock samples may depend on the degree of whiteness of samples. The outcrops or mine dumps in the study area were most effectively extracted on the histogram normalized image of TM Band 1, 2 and 3, due to their high reflectivity. The Masking technique using the above bands may be the most effective and the natural colour composite may provide some success as well. The colour composite image of PCA may also be effective in extracting geological features, and airborne radiometric data may be useful to some degree as an complementary tool.

CLIMATIC TRENDS OF SOME PARAMETERS OF THE SOUTHERN OCEAN DERIVED FROM REMOTE SENSING DATA

  • Lebedev, S.A.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.1023-1026
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    • 2006
  • As it was shown recently, climate changes in Antarctica resulted in interannual trends of some climatic parameters like sea level pressure, surface air temperature, ice thickness and others. These tendencies have effect on the Southern Ocean meteorological and hydrological regime. The following remote sensing data: AVHRR MCSST data, satellite altimetry data (merged data of mission ERS-2, TOPEX/Poseidon, Jason-1, ENVISAT, GFO-1) are used to analyse the interannual and/or climatic tendency of sea surface temperature (SST) and sea level anomaly (SLA). According to the obtained results, SST has negative trend $-0.02{\pm}0.003^{\circ}C/yr$ for 24-yr record (1982-2005) and SLA has positive trend $0.01{\pm}0.005$ cm/yr for 24-yr record (1982-2005) and $0.24{\pm}0.026$ cm/yr for 12-yr record (1993-2005). However in some areas (for example, Pacific-Antarctic Ridge) SST and SLA tendencies are stronger $-0.065{\pm}0.007^{\circ}C/yr$ and $-0.21{\pm}0.05$ cm/yr, respectively.

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Application of SeaWiFS data for assessment of eutrophication in the Pearl River estuary

  • Chen, Chuqun;Li, Xiaobin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.909-912
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    • 2006
  • In this paper a method for remotely-sensed assessment of eutrophication was experimented. The water samples were collected for analysis of COD (chemical oxygen demand) and nutrients concentration, and the remote sensing reflectance data at the sampling points were synchronously measured using above-water method in two cruises, which were conducted in the Pearl River Estuary in January 2003 and January 2004 respectively. Based on the in-situ data the local algorithms for estimation of concentration of nutrients (P and N) and COD were developed by Partial Least Squares (PLS) regression. The algorithms were then applied to atmospheric-corrected SeaWiFS data and the COD and nutrients concentration in Pearl River Estuary were estimated. And then the assessment of eutrophication was carried out by comparison of the estimated nutrients and COD value with the water quality standard. The results show that the whole estuary is seriously in eutrophication.

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Regional Scale Rice Yield Estimation by Using a Time-series of RADARSAT ScanSAR Images

  • Li, Yan;Liao, Qifang;Liao, Shengdong;Chi, Guobin;Peng, Shaolin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.917-919
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    • 2003
  • This paper demonstrates that RADARSAT ScanSAR data can be an important data source of radar remote sensing for monitoring crop systems and estimation of rice yield for large areas in tropic and sub-tropical regions. Experiments were carried out to show the effectiveness of RADARSAT ScanSAR data for rice yield estimation in whole province of Guangdong, South China. A methodology was developed to deal with a series of issues in extracting rice information from the ScanSAR data, such as topographic influences, levels of agro-management, irregular distribution of paddy fields and different rice cropping systems. A model was provided for rice yield estimation based on the relationship between the backscatter coefficient of multi-temporal SAR data and the biomass of rice.

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