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Volume 35 (1996)
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Predecessor
Volume 35, Issue 6
Displaying 1-14 of 14 articles from this issue
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[in Japanese]1996 Volume 35 Issue 6 Pages 1
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 2-3
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 4
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 5-6
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 7-8
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 8-10
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 10-12
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 12-14
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 14-18
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese], [in Japanese]1996 Volume 35 Issue 6 Pages 19-22
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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Takako Sakurai-Amano, Jonathan H.H. Bloedow1996 Volume 35 Issue 6 Pages 23-33
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSThere are many fields of application for SAR imagery that requires the detection of very thin features. These features often comprise many very small point-like and line-like features. To detect small features from noisy SAR imagery, speckle noise should be reduced prior to high level feature extraction, but features should not be wiped out in the process. To select the most appropriate filter for automated detection of very thin features slightly brighter than the background, the Lee filter, the enhanced Lee filter, the Frost filter, and the small-feature preserving despeckling filter (SFP) developed by one of the authors have been quantitatively evaluated using a ship wake feature in a 6 look ERS-1 image. The ability to reduce speckle and the ability to preserve the contrast of small features were evaluated. To measure the contrast of real images, we developed a new method, in which feature masks and the surrounding background masks are created at multiple threshold levels and the ratios and the differences are calculated from the average pixel values of the feature and the surrounding areas. Among the filters examined, the SFP filter was the most suitable for subsequent automated extraction of very thin slightly bright features.View full abstractDownload PDF (6827K) -
Harumi ARAKI1996 Volume 35 Issue 6 Pages 34-47
Published: January 10, 1997
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[in Japanese]1996 Volume 35 Issue 6 Pages 48-49
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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[in Japanese]1996 Volume 35 Issue 6 Pages 50-53
Published: January 10, 1997
Released on J-STAGE: March 19, 2010
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