Naoko Kosaka

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This paper proposes fusion analysis of high-resolution multispectral and panchromatic satellite imageries for forest type classification. We have shown the performance of forest type classification using panchromatic and multispectral high-resolution QuickBird satellite imageries separately. With texture features obtained from a panchromatic imagery, forest(More)
STUDY OBJECTIVE To identify the determinants of chronic hypercapnia (ie, PaCO(2), > or = 45 mm Hg) in men with obstructive sleep apnea syndrome (OSAS) without airflow obstruction. DESIGN An analysis was conducted of 143 male patients with OSAS, which had been diagnosed by polysomnography (PSG), who had been referred to a university hospital. Patients were(More)
In agricultural fields, the damage caused by salinized winds is crucial for crops. In order to minimize the damage, it is required to detect the damaged areas and enact the proper procedures in order to save the damaged fields immediately after the disaster. In this paper, we propose indices that can indicate the degree of salt-breezed damages in the early(More)
In this paper, we propose a new method of estimating pure spectra and the mixture ratio by applying the Independent Component Analysis (ICA) to the agricultural remote sensing images for recognizing fine structure vegetation change on farmland, where the covering plant is unknown. This technique enables to separate the change of vegetation into qualitative(More)
In this paper we propose a new method for estimating the degree of salt-damage over a widespread area using SPOT5 satellite images. In the method, the paddy field pixel data are normalized and plotted in the spectral feature space of NDVI (Normalized Differential Vegetation Index) and NDGI (Normalized Differential Green Index). In the feature space, normal(More)
Introduction Automatic survey over the growth status of paddy-rice in the wide area is very useful for estimating the yield and evaluating the farm environment. Since it is known that the yield and the Leaf Area Index (LAI) are related, estimating LAI from spectral reflectance data is our current purpose of the analysis. We measured paddy fields using an(More)
We represent the monitoring method of a carbon sink preservation activity for the global warming countermeasure using a high-resolution satellite image. We first investigate the satellite image availability and make a plan of a satellite image acquisition order. Next, we propose the land-use classification using the object-based image analysis to monitor(More)
In this study, optical remote sensing data were used for leaf area index (LAI) estimation. The LAI is an important measure to increase the yield and adjust the quantity of manure. LAI extracted from remotely sensed data may contribute to grasp the yield of rice at an early stage. Therefore, the purpose of this study is to estimate the LAI through remote(More)
Improving mapping accuracy is of primary interest in satellite remote sensing, especially when dealing with coastal areas, as underwater mapping remains a challenge. Radiometric correction is a key driver for accuracy and this process is generally closely related to the Lyzenga’s optical model, which tries to explain mathematically the relation between(More)