Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods.

•Two methods were compared for classifying HJ1B data and PALSAR fused-images.•The overall accuracies of two methods were relatively close using SVM classifier.•The pixel-based classification performed relatively better than the object-based.•The overall accuracy can be improved by 5.7% using the proposed algorithms.