The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
Scale-adaptive Hierarchical Multi-threshold Detection of Ships in Thermal Infrared Remote Sensing Images
Pages: 62-66
Year: Issue:  4
Journal: Hydrographic Surveying and Charting

Keyword:  TIR remote sensingTIR imagesscale selectionhierarchical multi-thresholdship detectiontarget detection;
Abstract: In this paper,an approach to hierarchical multi-threshold detection of offshore ship targets based on scale-adaptive selection is proposed to address deficiencies in the recognition of TIR remote sensing images due to their characteristic low contrast,striping noise,and low spatial resolution.Scale-adaptive selection is conducted as per the maximum value of the normalized Laplacian of Gaussian for ship target image templates.Then offshore ships are detected through multi-threshold screening of the selected Gaussian multi-scale spatial differences.Finally,experiments are conducted to test the impact of scale selection as well as the blocking method for different types of ship image templates on the separation of ship targets in TIR images.The results show that the proposed approach can filter out similar regions according to template scales and achieve effective detection based on well-selected scale and threshold parameters,with a certain level of noise resistance.
Related Articles
No related articles found