摘要
基于形态学变换的遥感图像分类提取技术在影像识别中得到了广泛应用,也取得了令人满意的效果。但在处理多光谱、高光谱影像中,由于较少考虑色差信息而使分类识别受到限制。本文在分析形态学算子特点的基础上,提出了基于形态学变换色差的水域特征提取策略。实验表明,该算法具有明显的优越性和较强的适应性。
The technology of remote sensing image classification and extraction based on morphological transformation has been widely used in image recognition and meets the requirement in a sense. However,in the processing of multispectral and hyperspectral, the usage of this technology has been restricted because of the unconsidering the chromatic aberration. This paper analyses the rrtorphological operator, and thus puts forward the chromatic aberration waters feature extraction strategy based on the morphological transformation. The result of experiment indicates that the arithmetic has obvious advantage and adaptability,
出处
《海洋测绘》
2006年第5期58-60,共3页
Hydrographic Surveying and Charting
关键词
遥感影像
形态学算子
色差
特征提取
remote sensing image
morphological operator
chromatic aberration
feature extraction
