Deep Learning for Recognizing Mobile Targets in Satellite Imagery
There is an increasing demand for software that automatically detects and classifies mobile targets such as airplanes, cars, and ships in satellite imagery. Applications of such automated target recognition (ATR) software include economic forecasting, traffic planning, maritime law enforcement, and disaster response. This paper describes the extension of a convolutional neural network (CNN) for classification to a sliding window algorithm for detection. It is evaluated on mobile targets of the xView dataset, on which it achieves detection and classification accuracies higher than 95%.
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationDeep LearningDisaster ResponseGeneral ClassificationSimilar Papers 제목 키워드 기반
Satellite Detection in Unresolved Space Imagery for Space Domain Awareness Using Neural Networks
This work utilizes a MobileNetV2 Convolutional Neural Network (CNN) for fast, mobile detection of satellites, and rejection of stars, in cluttered unresolved space imagery. First, a custom database is created using image…
Vehicle Vectors and Traffic Patterns from Planet Imagery
We explore methods to detect automobiles in Planet imagery and build a large scale vector field for moving objects. Planet operates two distinct constellations: high-resolution SkySat satellites as well as medium-resolut…
Scale-Aware Recognition in Satellite Images under Resource Constraints
Recognition of features in satellite imagery (forests, swimming pools, etc.) depends strongly on the spatial scale of the concept and therefore the resolution of the images. This poses two challenges: Which resolution is…
Event detection from novel data sources: Leveraging satellite imagery alongside GPS traces
Rapid identification and response to breaking events, particularly those that pose a threat to human life such as natural disasters or conflicts, is of paramount importance. The prevalence of mobile devices and the ubiqu…
Event DetectionSaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
Access to high resolution satellite imagery has dramatically increased in recent years as several new constellations have entered service. High revisit frequencies as well as improved resolution has widened the use cases…
Deep LearningHumanitarianNovel Object DetectionObject+2