Object Detection from Satellite Imagery using deep learning
Authors: Mujtaba, T., Wani, M.A. and Rasool, M.
Journal: 12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018
Pages: 3250-3256
Abstract:The problem of Object detection insatellite/aerial imagery is a fundamental and challenging one receiving lot of attention in recent years and plays a vital role for different number of applications. After the huge success of Deep learning methods in computer vision field they are currently being studied in the context of satellite imagery for different purposes like object identification, object tracking, object classification, semantic segmentation of aerial/satellite images. Although various review studies related to object detection from satellite/aerial imagery have been carried out, a review study concerning object detection from satellite/aerial imagery using deep learning approaches is still missing. This study presents a review of the recent progress in the field of object detection from satellite imagery using deep learning. The focus is on detection of roads, buildings, solar panels and vehicles.
Source: Scopus