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New Method for Ship Detection. Jian Yang Hongji Zhang Dept. of Electronic Eng., Tsinghua Univ. Yoshio Yamaguchi Dept. of Inform. Eng., Niigata Univ. Outline. Background Polarization Entropy and Similarity Parameter GOPCE based ship detection Experiment Results Summary. 1. Background.

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new method for ship detection

New Method for Ship Detection

Jian Yang Hongji Zhang

Dept. of Electronic Eng., Tsinghua Univ.

Yoshio Yamaguchi

Dept. of Inform. Eng., Niigata Univ.

outline
Outline
  • Background
  • Polarization Entropy and Similarity Parameter
  • GOPCE based ship detection
  • Experiment Results
  • Summary
1 background
1. Background
  • Polarimetric Whitening Filter (PWF)
  • Novak, Burl
  • Identity Likelihood Ratio Test
  • DeGraff
  • HH HV VV RR LL Entropy Span
  • Touzi
optimization of polarimetric contrast enhancement opce
Optimization of Polarimetric Contrast Enhancement (OPCE)

Ioannidis Hammers Kostinski

Boerner Yamaguchi Yang

problem
Problem
  • Can we employ the OPCE for ship detection?
  • It is easy to get the average Kennaugh matrix of sea clutter, but how can we get or construct the average Kennaugh matrix of ships?
  • Can we extend the OPCE for ship detection?
slide8

Approximate expression

From the least square method and Vieta's Theorem

The average error:

slide9

The Formula has a good approximation to the theoretical value of the polarization entropy

Eigenvalues and logarithm are unnecessary!!!

Running Time by the proposed formula is only 5% of that by the traditional approach

J. Yang, Y. Chen, Y. Peng, Y. Yamaguchi, H. Yamada, “New formula of the polarization entropy”, IEICE Trans. Commun., 2006, E89-B(3), 1033-1035

slide10

Similarity parameter

single-look case

Multi-look case

J. Yang, et al., “Similarity between two scattering matrices,” Electronics Letters, vol.37, no. 3, pp. 193-194, 2001.

slide11

Similarity between a target and a plate:

surface scattering

Similarity between a target and a diplane:

Double-bounce scattering

generalized opce gopce based ship detection
Generalized OPCE (GOPCE) based ship detection

J. Yang, Y. Yamaguchi, W. -M. Boerner, S. M. Lin, “Numerical methods for solving the optimal problem of contrast enhancement,” IEEE Trans. Geosci. Remote Sensing, 2000, 38(2), pp. 965-971

slide13

GOPCE: Generalized OPCE

J. Yang, et al., “Generalized optimization of polarimetric contrast enhancement”, IEEE GRSL., vol.1, no.3, pp.171-174, 2004

gopce based ship detection
GOPCE based ship detection

For a sea area

subject to:

average kennaugh matrix of ships
Average Kennaugh matrix of ships
  • the scattering contributions of a ship
  • direct reflection of plates
  • double reflections of diplates of the ship
  • some multi-reflections of the surface of the ship, or some multi-reflections between the ship and the sea surface
experimental results
Experimental results

NASA/JPL AirSAR over Sydney coast, Australia.

Span image

experiment results1
Experiment results

Power Image by OPCE

experiment results2
Experiment results

GP Image by GOPCE

experiment results3
Experiment results

Filtered result by PWF

slide21

Detection results:

false alarm rate 1%

span

PWF

OPCE

GOPCE

5 summary
5. Summary

(1) OPCE has been developed

(2) GOPCE is effective for ship detection

thank you

Thank you!

yangjian_ee@tsinghua.edu.cn

speckle filtering
Speckle Filtering

Observation Point

  • Speckle phenomenon in SAR/POLSAR

Surface Roughness

Scattering from distributed scatterers

Coherent interferences of waves scattered from many randomly distributed scatterers in the resolution cell

Granular Noise

Speckle Phenomenon

speckle filtering1
Speckle Filtering
  • Challenge of speckle filtering

Speckle Filtering

Speckle Reduction

Detail Preservation

These two objectives should

be achieved simultaneously

pre test approach for speckle filtering
Pre-test Approach for Speckle Filtering
  • Classical Methods for Speckle Filtering
    • Boxcar Filter
    • MMSE Lee’s filter with edge detector

To-be-filtered pixel

3*3 boxcar

Pixel selected for averaging

8-direction edge detectors

pre test approach for speckle filtering1
Pre-test Approach for Speckle Filtering

Summary of Speckle Filtering : Two-Step Methodology

To-be-filtered

pixel

patch : pixel itself and its

local neighboring

Pre-tested pixels

patch

non-local area :other than

neighboring area

pre-test : selecting homogenous

pixels in non-local area by patch

An example of pre-testing homogenous pixels in non-local area by patch

pre test approach for speckle filtering2
Pre-test Approach for Speckle Filtering
  • Non-local but homogeneous pixels using proposed method
pre test approach for speckle filtering3
Pre-test Approach for Speckle Filtering
  • For each pixel

- For each pixel in non-local searching area

  • 1. Calculate the similarity test between the patches with and
  • as the center respectivel
  • 2. If test > threshold, accept
  • as the homogenous pixel to , and calculate the weight
  • 3. Average homogenous pixels with their normalized weight to get filtered covariance matrix

Calculate the similarity between 2 patches

patch

searching area of

pre test approach for speckle filtering4
Pre-test Approach for Speckle Filtering

SAR-Convair 580 C-band

Image size : 340*220

Resolution : 6.4m*10m

  • Experimental Results
  • Original

(b) Refined Lee

(c) Pre-test

slide31

C-band AirSAR data

  • SAN Francisco area
  • Original
  • Boxcar
  • Refined Lee
  • Pre-test
  • 4 multi-look
  • Image size :
  • 300*300
  • Resolution :
  • About 10m*10m