基于三维直方图的NOAA AVHRR图像类别提取

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293) Pub Date : 1999-06-28 DOI:10.1109/IGARSS.1999.774606

K. Kawano, J. Kudoh, S. Makino

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引用次数: 0

摘要

提出了一种新的多光谱遥感数据分析图像处理方法。三维直方图技术是一种显示NOAA AVHRR图像三个不同通道亮度的方法。他们将三维空间的X、Y和z轴分别分配给三个不同通道的亮度。这可以将图像的相同属性可视化为三维空间中的质量，因此对不同类别(如陆地，海洋和云)进行分类是有用的。三维直方图与图像具有对应关系，并且可以交互式地旋转三维直方图。因此，该方法可以帮助非专家在短时间内提取他的兴趣类别。

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Category extraction of NOAA AVHRR images by using 3 dimensional histograms

The authors have developed a new image processing method for the analysis of multispectral remote sensing data. The 3 dimensional histogram technique is a method of displaying the brightness of the three different channels of NOAA AVHRR images. They assigned the X, Y and Z-axes of the 3 dimensional space to the brightness of three different channels respectively. This can visualize the same properties of images as a mass in the 3 dimensional space, so it is useful to classify the different categories such as the land, the sea, and the cloud. The 3 dimensional histogram has correspondence to the images and it is possible to rotate the 3 dimensional histogram interactively. So, this method assists a nonexpert to extract his interest categories in a short time.

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IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)

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