The Application of GF-1 Imagery to Detect Ships on the Yangtze River

Various satellite data are currently used to detect ships on the sea surface. However, no study on the use of Gaofen-1 (GF-1) data to monitor ships on the surface of inland rivers has been reported. Therefore, we proposed a method to extract inland river-surface ships from GF-1 imagery. The Normalized Differential Water Index was calculated to enhance the contrast between water and non-water areas after the preprocessing procedure. The multi-resolution segmentation method and object-oriented classification rule sets were used to detect the ships in the image. Results show that most of the ships, whose length-to-width ratio ranges from 3.0 to 7.2, could be identified correctly regardless of their size. The results also indicate that detecting ships on inland rivers using GF-1 imagery is feasible.

[1]  P. Gong,et al.  Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery , 2006 .

[2]  Bo Li,et al.  Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[3]  G. J. Hay,et al.  A multiscale framework for landscape analysis: Object-specific analysis and upscaling , 2001, Landscape Ecology.

[4]  Knut Eldhuset,et al.  An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions , 1996, IEEE Trans. Geosci. Remote. Sens..

[5]  Michael J. Collins,et al.  On the use of compact polarimetry SAR for ship detection , 2013 .

[6]  Xu Shou-shi A New Method for Ship Target Recognition Based on Support Vector Machine , 2006 .

[7]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[8]  Josaphat Tetuko Sri Sumantyo,et al.  Assessment of pan-sharpening methods applied to image fusion of remotely sensed multi-band data , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[9]  Ben Gorte,et al.  A method for object-oriented land cover classification combining Landsat TM data and aerial photographs , 2003 .

[10]  T. Akamatsu,et al.  Yangtze finless porpoises along the main channel of Poyang Lake, China: Implications for conservation , 2015 .

[11]  Jan de Leeuw,et al.  Performance of Landsat TM in ship detection in turbid waters , 2009, International Journal of Applied Earth Observation and Geoinformation.

[12]  S. K. McFeeters The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[13]  Guang Yang,et al.  Ship Detection From Optical Satellite Images Based on Sea Surface Analysis , 2014, IEEE Geoscience and Remote Sensing Letters.

[14]  Maria Daniela Graziano,et al.  Constellation analysis of an integrated AIS/remote sensing spaceborne system for ship detection , 2012 .

[15]  Hong Zhang,et al.  Ship detection method for single-polarization synthetic aperture radar imagery based on target enhancement and nonparametric clutter estimation , 2015 .

[16]  Xiang Zhang,et al.  Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion , 2015 .

[17]  Predrag Lugonja,et al.  Classification of small agricultural fields using combined Landsat-8 and RapidEye imagery: case study of northern Serbia , 2014 .