WANG Changying, CHU Jialan, TAN Meng, SHAO Fengjing, SUI Yi, LI Shujing. An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image[J]. Acta Oceanologica Sinica, 2017, 36(11): 106-114. doi: 10.1007/s13131-017-1141-9
Citation: WANG Changying, CHU Jialan, TAN Meng, SHAO Fengjing, SUI Yi, LI Shujing. An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image[J]. Acta Oceanologica Sinica, 2017, 36(11): 106-114. doi: 10.1007/s13131-017-1141-9

An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image

doi: 10.1007/s13131-017-1141-9
  • Received Date: 2016-05-23
  • Rev Recd Date: 2016-07-29
  • Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of green tide is presented from Landsat TM/ETM plus image which needs not the atmospheric correction. In order to achieve an automatic detection of green tide, a linear relationship (y=0.723x+0.504) between detection threshold y and subtraction x (x=λnir-λred) is found from the comparing Landsat TM/ETM plus image with the field surveys. Using this relationship, green tide patches can be detected automatically from Landsat TM/ETM plus image. Considering there is brightness difference between different regions in an image, the image will be divided into a plurality of windows (sub-images) with a same size firstly, and then each window will be detected using an adaptive detection threshold determined according to the discovered linear relationship. It is found that big errors will appear in some windows, such as those covered by clouds seriously. To solve this problem, the moving step k of windows is proposed to be less than the window width n. Using this mechanism, most pixels will be detected[n/k]×[n/k] times except the boundary pixels, then every pixel will be assigned the final class (green tide or sea water) according to majority rule voting strategy. It can be seen from the experiments, the proposed detection method using multi-windows and their adaptive thresholds can detect green tide from Landsat TM/ETM plus image automatically. Meanwhile, it avoids the reliance on the accurate atmospheric correction.
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