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Kang et al., 2017 - Google Patents

A modified faster R-CNN based on CFAR algorithm for SAR ship detection

Kang et al., 2017

Document ID
9836977084083990439
Author
Kang M
Leng X
Lin Z
Ji K
Publication year
Publication venue
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)

External Links

Snippet

SAR ship detection is essential to marine monitoring. Recently, with the development of the deep neural network and the spring of the SAR images, SAR ship detection based on deep neural network has been a trend. However, the multi-scale ships in SAR images cause the …
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Classifications

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    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G06K9/3241—Recognising objects as potential recognition candidates based on visual cues, e.g. shape
    • G—PHYSICS
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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