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An infrared small target detection framework based on local contrast method
- Source :
- Measurement. 91:405-413
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Small-target detection in infrared imagery used in forward looking infrared is an important task in remote sensing fields. It is important to improve the detection capabilities such as detection rate, false alarm rate and speed. In this letter, a novel approach inspired by human visual system (HVS) is presented. First, block compressed sampling theory was used to compress the image and obtain the modulation map. Then, small abnormal regions in the modulation map were detected by high speed local contrast method and defined as candidate targets. Experimental results show the proposed algorithm pursue good performance in detection rate, false alarm rate and speed simultaneously.
- Subjects :
- Infrared
Computer science
business.industry
Applied Mathematics
media_common.quotation_subject
020206 networking & telecommunications
02 engineering and technology
Condensed Matter Physics
Constant false alarm rate
Image (mathematics)
Modulation
Human visual system model
0202 electrical engineering, electronic engineering, information engineering
Contrast (vision)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
Forward looking infrared
business
Instrumentation
media_common
Block (data storage)
Subjects
Details
- ISSN :
- 02632241
- Volume :
- 91
- Database :
- OpenAIRE
- Journal :
- Measurement
- Accession number :
- edsair.doi...........9175df3ea82e846376a3cda4b71f6597