基于TM影像自动获取冲洪积扇信息模型研究

研究目的:冲洪积扇在遥感影像上有其特有的色调、纹理和亮度等遥感特征,由于冲洪积扇区多是松软土分布区,是影响工程的重要因素之一,利用遥感影像确定冲洪积扇分布范围,用以指导工程选址,是遥感解译工作的重要组成部分。传统的冲洪积扇遥感解译以目视解译为主,其速度慢、周期长,工作量大,难以满足当前铁路、公路高速发展的需求。通过分析研究冲洪积扇的地形地貌和遥感影像特征,基于TM影像,建立冲洪积扇信息提取模型,实现利用算法从影像上自动快速提取冲洪积扇的方法,成果快速地用于指导工程地质选线工作。研究结论:基于冲洪积扇的遥感机理,构建的集冲洪积扇指数、植被指数、湿度指数和地形数据为一体的冲洪积扇信息遥感自动提取模型,能快速、有效地提取TM影像中的冲洪积扇信息,实现了冲洪积扇遥感解译的自动化。

Research on Model for Automatic Acquiring Alluvial Fan Information from TM Images

Research purposes: The alluvial fan has its unique remote sensing characteristics of the color,texture and brightness in the remote sensing image.As the alluvial fan area is the soft soil distribution area,it is one of the important influence factors of the project.The remote sensing interpretation is an important work of using the image to determine the distribution of alluvial fan for guiding the selection of project location.The traditional alluvial fan interpretation regards the visual interpretation as the dominant fact with the features of low speed,long time and much work to be done and it can not meet the demand of the rapid development of the railway and highway.Based on the analysis and research on the topographical characteristics and the remote sensing image characteristics of the alluvial fan,the model for automatic acquiring alluvial fan information from TM images is established to rapidly acquire the alluvial fan from the images with algorithm for guiding the track alignment. Research conclusions:Based on the remote sensing mechanism of the alluvial fan,the model for remotely automatic acquiring the integrated alluvial fan information on the alluvial fan,the vegetation index and topographical data is established to rapidly and effectively acquire the alluvial fan information from the sensing images and realize automation of remote sensing interpretation of the alluvial fan.