Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques

•A new image dataset was collected to detect space objects.•A DWT based deep feature generator is presented.•A commonly preferred land-use dataset was used to obtain comparative results.•An accurate model is proposed and achieved above 95% accuracies for both datasets.•This model outperformed.