• Previously training and classification were on the whole images

• We found that each image can be roughly divided into three horizontal strips. The upper one stands for sky, the middle one for trees/foliage and the bottom one for grass/ground

• It's probably a better strategy to extract features from each part, then train and test on each part respectively