A Comparative Study of Land Cover Classification by Using Multispectral and Texture Data

Table 5

NDA architecture for multispectral dataset.

Input layers = 5	1st hidden layer = 5	2nd hidden layer = 2
Learning rate eta = 0.20	Back propagation iteration = 200000	Optimized iteration limit = 70
Output layers = 5