Remote sensing technology is a kind of effective technical means to obtain information of the tidal muddy flat wetlands. It has important significance to explore the tidal flat wetland's remote sensing classification method. This study's aim is to get high-precision information of features of tidal flat wetlands according to image feature and muddy tidal flat wetlands characteristics of Yancheng National Nature Reserve in Jiangsu Province, China. The TM image of 2010 is taken as the data source. The practical problems are tidal flat wetland vegetation types' complexity and the difficulty in correctly identifying the ecotone information. Because tidal flat wetland surface features in remote sensing images have a complex spectrum, it is very difficult to effectively extract information through one single method. So, we comprehensively use methods of the NDVI, band reflectance spectral characteristics, environmental characteristics and ecological conditions, one level after another to simplify the complex tidal flat wetland classification. Firstly, we chose the best combination of the bands. Secondly, we established vegetation and non-vegetation's ROI to analyze the band reflectance spectral characteristics. The ROI include 1316 Spartina alterniflora Loisel, 633 mudflats, 1253 Suaeda salsa, 1002 Phragmites cammunis, 525 water body, and 4803 road samples. At last, we established decision tree to reality the practices. After selecting 3216 samples to accuracy inspection and compared with the same area of supervised classification, the results show that classification accuracy is up to 95.87% by ROI training area. It has advantages in identifying the ecotones' vegetation types and vegetation scattered patches. The method makes up for the lack of a single classification and has an important reference value and practical significance in effectively extracting tidal flat surface features.