http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Spectal Characteristics of Dry-Vegetation Cover Types Observed by Hyperspectral Data
Kyu Sung Lee,Sun Hwa Kim,Jeong Rim Ma,Min Jung Kook,Jung II Shin,Yang Dam Eo,Yong Woong Lee 大韓遠隔探査學會 2006 大韓遠隔探査學會誌 Vol.22 No.3
Because of the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions of agricultural croplands, grasslands, and disturbed forests by multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been a primary problem to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement (GER-2600) and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Red-edge near 700nm and shortwave IR near 2,200nm are more sensitive to the fraction of dry vegetation. The use of hyperspectral data would allow us for better separation between bare soils and other surfaces covered by dry vegetation during the leaf-off season.
Spectal Characteristics of Dry-Vegetation Cover Types Observed by Hyperspectral Data
Lee Kyu-Sung,Kim Sun-Hwa,Ma Jeong-Rim,Kook Min-Jung,Shin Jung-Il,Eo Yang-Dam,Lee Yong-Woong The Korean Society of Remote Sensing 2006 大韓遠隔探査學會誌 Vol.22 No.3
Because of the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions of agricultural croplands, grasslands, and disturbed forests by multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been a primary problem to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement (GER-2600) and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Red-edge near 700nm and shortwave IR near 2,200nm are more sensitive to the fraction of dry vegetation. The use of hyperspectral data would allow us for better separation between bare soils and other surfaces covered by dry vegetation during the leaf-off season.
Eo, Yang-Dam,Lee, Gyeong-Wook,Park, Doo-Youl,Park, Wang-Yong,Lee, Chang-No The Korean Society of Remote Sensing 2008 大韓遠隔探査學會誌 Vol.24 No.5
In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator's experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.
Yang Dam Eo,Gyeong Wook Lee,Doo Youl Park,Wan Yong Park,Chang No Lee 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.5
In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator`s experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.
도로 영역 추출을 위한 무감독 분류에 있어서 적정 클래스 수 결정
어양담(Eo Yang Dam),송현승(Song Hyeon Seung),이용웅(Lee Yong Woong) 한국지적정보학회 2004 한국지적정보학회지 Vol.6 No.2
도로의 형상이 복잡한 시가지 지역에 대한 도로영역의 무감독 분류를 수행함에 있어서, 클래스 수를 변화시키면서 도로화소를 결정하였다. 결정된 도로 화소들의 정확도를 오차행렬(error matrix), edge 성분과의 방향 일치성, 도로 화소들의 밀집성을 통하여 분석하였다. 본 연구에서 시가지 영역을 포함한 QuickBird-2 다중밴드 영상을 대상으로 실험한 결과, 분류 정확도, 화소의 방향성, 화소 밀집도를 기준으로 20~30개 클래스로 분류한 경우가 가장 좋은 결과를 나타내었다. The road pixels which have complex geometry and shape in urban area were determined through changing the number of classes in unsupervised classification. The Error matrix, direction accordance with edges and road pixel tightness were used for analysis of road pixel classification. The result from QuickBird multispectral imagery shows that the cases of 20-30 classes had better classification accuracy, direction accordance and pixel tightness than the case of 50-100 classes.
어양담(Eo Yang Dam),송현승(Song Hyeon Seung),이용웅(Lee Yong Woong),박철근(Park Cheol Geun),황명균(Hwang Myung Kyun) 한국지적정보학회 2007 한국지적정보학회지 Vol.9 No.2
비행궤적을 가지고 날아오는 물체의 출발위치를 정확히 계산하기 위해서는 지형 고도를 고려한 수평위치로의 보정이 필요하다. 그런데 일부 탐지체계의 경우 종이지도에 표시된 위치의 등고선을 육안판독하여 그 고도값을 입력하게 되므로 열악안 판독환경, 판독개인차 및 시간제한 등으로 인해 부정확한 위치 생성 가능성이 있다. 따라서 동일 지점에 대한 등고선 육안판독 고도와 등고선 제작에 활용된 수치고도자료를 계산한 결과를 비교하여 두 결과의 차이가 있는지를 분석하고, 현지측량자료와의 성과를 비교하였다. 또한 현재 군이 보유하고 있는 기준자료와 수치고도자료들을 종류별로 차이를 분석하여 독자적 탐지체계 개발시 적합한 수치고도자료를 제안하였다. Accurate position can be calculated by input height of intial fire position in fire-finding system. In some detection systems, operators read a specific position which lies on contours of the paper map, it is possible to get inaccurate object position due to bad interpretation condition, individual maturity, and time limit. Positional accuracy test performed between interpretation height of paper map and calculation result of digital map. Also, the experiment results calculated from several types of digital elevation data are compared with reference data. Author suggests the proper type of DTED (Digital Terrain Elevation Data)to future domestic fire-finding system.
어양담,Eo, Yang-Dam 한국공간정보학회 2007 한국공간정보학회지 Vol.15 No.2
To make digital terrain data, automatic correlation matching by stereo airborne/satellite images has been researched. The result of automatic correlation matching has a limit on extracting exact ground height because of angle of sensor, tree of height. Therefore, the amount of editing works depend on the distribution of spatial feature in images as well as image quality. This paper shows that the automatic correlation matching result was affected by density and height of tree. 수치고도자료를 생성하기 위해서, 항공기 혹은 위성에 탑재된 센서로부터 획득한 입체영상으로부터 자동상관매칭기법에 의해 고도값을 획득하는 연구가 수행되어 왔다. 자동상관매칭에 의한 결과값은 센서의 각도 및 수목 등에 의해 지표고도를 직접 추출하는데는 한계가 있고 영상내 지형지물 분포에 의해 고도값의 수정, 편집량이 결정된다. 본 연구는 수목차폐율과 수목고 자료가 자동상관매칭 고도 결과값에 미치는 영향을 분석하였다.