CAJ | 학술논문

针对高分辨率影像的空间分辨率高而光谱分辨率相对不足的特点,提出一种基于多尺度分割和特征组合的对象级分类方法。试验结果表明,面向对象的分类方法可有效抑制＂椒盐现象＂,显著提高分类精度,更加适合于几何和纹理信息丰富的高分辨率影像的自动识别分类。
침대고분변솔영상적공간분변솔고이광보분변솔상대불족적특점,제출일충기우다척도분할화특정조합적대상급분류방법。시험결과표명,면향대상적분류방법가유효억제＂초염현상＂,현저제고분류정도,경가괄합우궤하화문리신식봉부적고분변솔영상적자동식별분류。
A classification method for high-resolution image based on object oriented and feature combination is presented in this paper.The whole image is firstly multi-scale segmented to get objects.Then,the features of objects,such as spectral,geometrical and topological characteristics,are measured.Finally,the classification is carried out by using multi-features and the rules.The research shows that the object oriented method is more efficient than the pixels-based methods,and reduce the ＇Pepper and Salt＇ pheomenon effectively.