• Journal of the Optical Society of Korea
• /
• v.18 no.5
• /
• pp.517-522
• /
• 2014

In this paper we propose an axially distributed image-sensing method with a wide-angle lens to capture the wide-area scene of 3D objects. A lot of parallax information can be collected by translating the wide-angle camera along the optical axis. The recorded wide-area elemental images are calibrated using compensation of radial distortion. With these images we generate volumetric slice images using a computational reconstruction algorithm based on ray back-projection. To show the feasibility of the proposed method, we performed optical experiments for visualization of a partially occluded 3D object.

• Journal of the Korean GEO-environmental Society
• /
• v.6 no.4
• /
• pp.73-80
• /
• 2005

The domestic Remote Sensing field uses mainly Landsat TM image that is used to the monitoring of the wide area. In this study, it is analyzed the land cover change of rural and urban area by time series using satellite images and is proposed the vision for a urban balanced development. It execute an analysis for urban change which is a fundamental data of city planning through the integration of the spatial analysis technique of GIS and Remote Sensing using satellite data.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1159-1161
• /
• 2003

Gidra speaking people living in Wonnie area of western province in Papua New Guinea are traditionally dependent on hunting and gathering. Sago is the main staple food and the vegetation consists of rain forest (Bua) and trees with savannah grass (Yap). The population density is very low and the people are very little affected by modernization. This study is an attempt to look at the people-resource interaction in the area for the past thirty years based on aerial photographs and various satellite data. The study showed the trends of yap versus bua distribution as well as the location of garden and Sago grove areas, which is important for studying the livelihood of the people.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1475-1477
• /
• 2003

The satellite remote sensing data is good in order to grasp the wide natural environment. The purpose of study is that it examines spectral reflection characteristic and vegetation index by the utilization of the plant energy ( chlorophyll ) for examining the reliability of satellite data and grasps the transition of the natural environment using the result. According to result of analysis, there were NDVI and mutual relationship on chlorophyll, and luminance compensation of NDVI was effective for all area. In vegetation transition, there were no luminance compensation and relation, and there was a decrease of vegetation in area in south and north. The reason was a result by the artificial and natural effect. This analysis is an effective method in order to confirm the change of specific vegetation.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.75-77
• /
• 2003

The spatial distribution of snow cover area is a crucial input to models of hydrology and climate in alpine and other seasonally snow covered areas.The objective in our study is to develop a rapidly automatic and high accuracy snow cover mapping algorithm applicable for the Tibetan Plateau which is the most sensitive about climatic change. Monitoring regional snow extent reqires higher temoral frequency-moderate spatial resolution imagery.Our algorithm is based AVHRR and MODIS data and will provide long-term fraction snow cover area map.We present here a technique is based on the multiple endmembers approach and by taking advantages of current approaches, we developed a technique for automatic selection of local reference spectral endmembers.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.757-759
• /
• 2003

Understanding the area of the rice paddy fields is important, and suitable for it the remote sensing. SAR is effective to the monitor in Southeast Asia with the rainy season. The detection of the filled rice paddy fields by RADARSAT was tried in the north part of Bangkok Thailand, and in the Mekong river valley Cambodia, which ware the main rice production country in Southeast Asia. We get observation data by RADARSAT and fields all through a year around Bangkok. However, because the flood had occurred on the study area in 2002 observed, the detection only of the rice fields ware difficult.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.856-858
• /
• 2003

Biotop map can be utilized in the urban area for nature conservation and impact assessment for the proposed activities. High resolution satellite data such as IKONOS and KOMPSAT1-EOS were used to classify land use activities in biotop mapping. After land use classification, field -check was done to survey the wildlife and vegetation. These maps were combined and the boundaries were delineated to produce the biotop map. Within the boundary the characteristics of each polygon were identified, and named. This study was carried out at Daedok Science Town in Taejeon Metropolitan Area. The purpose of this study is to produce the biotop map using high resolution remote sensing data together with other ground data.

• Korean Journal of Remote Sensing
• /
• v.26 no.6
• /
• pp.665-673
• /
• 2010

The role of remote sensing in phenological studies is increasingly regarded as a key in understanding large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for vegetation classification using seasonal variation patterns. The vegetation seasonal variation phase of Seoul and provinces in Korea was inferred using 8 day composite MODIS NDVI (Normalized Difference Vegetation Index) dataset of 2006. The seasonal vegetation classification approach is performed with reclassification of 4 categories as urban, crop land, broad-leaf and needle-leaf forest area. The BISE (Best Index Slope Extraction) filtering algorithm was applied for a smoothing processing of MODIS NDVI time series data and fuzzy classification method was used for vegetation classification. The overall accuracy of classification was 77.5% and the kappa coefficient was 0.61%, thus suggesting overall high classification accuracy.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.933-935
• /
• 2003

Geo-scientifically viable, environmentally suitable, and socially acceptable sanitary landfill sites are very limited in the Kathmandu Valley and is confronted with the burning problem of safe disposal of urban waste. This paper deal with the evaluation and assessment of its interface, following the major criteria defining suitable geological barrier, Cation Exchange Capacity and other necessary physical parameters with the optimum utilization of remotely sense data along with GIS techniques. The study revealed one of the most viable sites at the flat land of natural depression of Taikabu area and has potential to serve all the municipalities of the Kathmandu Valley.

• Korean Journal of Remote Sensing
• /
• v.23 no.2
• /
• pp.119-124
• /
• 2007

The few observed data related snowmelt was the major cause of difficulty in extracting snowmelt factors such as snow cover area, snow depth and depletion curve. Remote sensing technology is very effective to observe a wide area. Although many researchers have used remote sensing for snow observation, there were a few discussions on the characteristics of spatial and temporal variation. Snow cover maps were derived from NOAA AVHRR images for the winter seasons from 1997 to 2006. Distributed snow depth was mapped by overlapping between snow cover maps and interpolated snowfall maps from 69 meteorological observation stations. Model parameters (Snow Cover Area: SCA, snow depth, Snow cover Depletion Curve: SDC) building for 5 major watersheds in South Korea. Especially SDC is important parameter of snowmelt model.