摘要
设计了一种基于非线性编码和lαβ变换的SAR图像伪彩色增强算法。利用非线性编码建立SAR图像强度值与不同颜色之间的映射关系,得到SAR伪彩色图像;通过lαβ变换分离出伪彩色图像的颜色信息和SAR灰度图像的亮度信息;再将亮度信息和颜色信息通过lαβ逆变换生成SAR伪彩色增强图像。实验结果表明,利用该算法处理得到的SAR伪彩色增强图像与相应的灰度图像相比,具有更加丰富的信息,灰度图像上不易分辨的一些地物的轮廓和细节在伪彩色图像上能够得到较好分辨。从而验证了该算法的有效性。
A SAR image pseudo-color enhancement algorithm was designed based on nonlinear coding and 1αβ transformation. The corresponding relationship between intensities of SAR image and colors is established through the nonlinear coding, and the pseudo-color SAR image is obtained. Color information of pseudo-color SAR image and luminance information of gray SAR image are separated through 1αβ transformation. The pseu- do-color enhanced SAR image is obtained by transforming both color and luminance bands to RGB color space. The result of experiment showed that the pseudo-color enhanced SAR image contained more information than gray image, and more details could be distinguished. The validity of the designed algorithm was proved.
出处
《测绘科学技术学报》
北大核心
2012年第3期192-195,共4页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(40771142
40871213
41071296)
国家863计划项目(2010AA122202)
江苏省企业院士工作站项目(BM2010509)
国家科技部企业创新基金项目(11C26213201271)
苏州市企业创新基金项目(SG201030)
