Automatic GCP Extraction of Fully Polarimetric SAR Images

• Chureesampant, Kamolratn

• 須﨑, 純一

抄録

This paper presents a method for automatic extraction of ground control points (GCPs) of fully polarimetric synthetic aperture radar (SAR) (PolSAR) images obtained from various satellites with different viewing angles. The scale-invariant feature transform (SIFT) algorithm is applied to extract candidate GCPs, where two-way keypoint matching eliminates improbable correspondence keypoints. Minimizing the root-mean-square error (rmse) also removes matching points with large rmse through a pseudoaffine transformation. In addition, information entropy and spatial dispersion quality constraints enable quantification of the spatial distribution of the GCPs. In accordance with full polarization, applying the SIFT-OCT algorithm (SIFT algorithm with the first scale-space octave skipped) to PolSAR data is examined. The total power (TP) image represents a combination of the characteristics of all four polarization images [horizontal transmitting and horizontal receiving (HH), horizontal transmitting and vertical receiving (HV), vertical transmitting and horizontal receiving (VH), and vertical transmitting and vertical receiving (VV)]. Therefore, GCP extraction using a TP image rather than each polarization image is proposed in order to maximize the accuracy of GCP extraction for all of the polarization data, as the TP image generates the highest signal-to-noise ratio (SNR) value. The SNR in conjunction with the matching correlation surface is used as an indicator of the reliability and accuracy of GCP extraction. After successfully applying the method to Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar and Japanese Earth Resources Satellite-1 SAR images, the GCP matching accuracy is further improved by using geometric calibration.

収録刊行物

• IEEE Transactions on Geoscience and Remote Sensing

  IEEE Transactions on Geoscience and Remote Sensing 52 (1), 137-148, 2014-01

  IEEE

キーワード

• Automatic ground control point (GCP) extraction
• geometric calibration
• polarimetric synthetic aperture radar (SAR) (PolSAR)
• scale-invariant feature transform (SIFT)
• signalto- noise ratio (SNR)
• total power (TP)

詳細情報

• CRID: 1050845760732610688
• NII論文ID: 120005537584
• NII書誌ID: AA00231483
• ISSN: 01962892
• HANDLE: 2433/193300
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles