森林面积遥感估测研究

Extraction Forest Area Based on Remote Sensing

深入探讨了图像处理方法、分类原理等基本理论;依据研究区内植被的光谱特征,选择合适的遥感数据源并对数据进行预处理;通过对植被光谱特征、植被指数等关键因子的分析,选择特征提取的方法,进行了初步的计算机自动分类;根据分类结果,计算宣城市森林面积。不仅可以弥补人工实地调查中工作量大、调查周期长,资源数据速度慢、精度低等缺点,还可以发挥其信息量大、检测手段先进等优点,使得快速、准确地完成森林面积估算成为现实。

This study further explored the basic theory of the image processing method and classification principles.Based on the spectral characteristics of vegetation in the area,the appropriate remote sensing data and data pre-processing were selected through the spectral characteristics of vegetation,vegetation index analysis of key factors.The feature extraction method was selected,and then a preliminary automatic classification of a computer was being done.According to classification results,the forest area of Xuancheng was calculated.It not only avoids the defects of the large amount of manual work in the field survey,the long survey cycle,slow resource data,low accuracy,also make full use of its large amount of information,advanced detection methods etc.,which makes quick and accurate estimates of forest area to become a reality.