Back to Search
Start Over
Remote Sensing Ship Target Detection and Recognition System Based on Machine Learning
- Source :
- IGARSS
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- In this paper, the ship target detection and recognition system of remote sensing imaging based on machine learning is designed according to the sparsity of interest targets in optical remote sensing image, and proposes a method of target detection and recognition based on morphological matching and machine learning. The slices of suspected targets are extracted quickly by visual enhancement technology that the amount of data processed is greatly reduced. The target information of interest is extracted in depth and the false alarm rate of detection is greatly reduced by using machine learning method to classify objects. In the system function and performance verification test, the real-time and accuracy index through 227 targets of 32 scenes GF-2 satellite images are tested what can detect and recognize about 20 objects per second. The recall rate of the system is more than 92%, and the efficiency of target detection method based on traditional morphological matching is less than 60% while the target recognition method base on machine learning improves the precision rate to over 97%.
- Subjects :
- Matching (statistics)
business.industry
Computer science
020208 electrical & electronic engineering
02 engineering and technology
Machine learning
computer.software_genre
Convolutional neural network
020202 computer hardware & architecture
Constant false alarm rate
Remote sensing (archaeology)
0202 electrical engineering, electronic engineering, information engineering
Recognition system
Artificial intelligence
business
computer
Remote sensing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi...........3d73c6247a4172b52b427cf25a869a93