写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
要素被覆物集合認識モデルに基づく空間的分類アルゴリズム
張 子〓福江 潔也下田 陽久坂田 俊文
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ジャーナル フリー

1988 年 27 巻 3 号 p. 16-24

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抄録
It has been shown from recent studies that conventional pixelwise supervised land-use/cover classification methods can not achieve sufficient classification accuracies for high ground resolution image data such as SPOT HRV and Landsat TM. In this paper, a new landcover/use classification algorithm in order to increase classification accuracies for high resolution images is presented.
This algorithm is based upon a two stage recognition model of landcover/use. In this model, each concept of landcover categories is defiend by the component ratio of landcover elements surrounding the corresponding pixel. The classification procedure can be divided into 3 steps ; the first step is the land cover elements recognition of each pixel using a pixelwise classifier; second step is the calculation of the component ratio of each element within local image region ; third step is the final decision for landcover categories using a minimum distance classifier.
The renults of experiments showed that this algorithm achieved about 7% improvements of classification accuracies.
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© 社団法人 日本写真測量学会
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