TY - JOUR
JF - kntu-jgit
JO - jgit
VL - 2
IS - 1
PY - 2014
Y1 - 2014/6/01
TI - mparison between Two Statistical Processing Methods of Multi-Beam Echo-Sounder Data on Histogram Matching
TT - مقایسه دو روش پردازش آماری دادههای اکوساندر چندپرتویی (MBES)
N2 - At present, applying the acoustic approaches and equipments has been increasingly used for gathering information from seafloor to produce maps with numerous applications. Multi-beam echo-sounder (MBES) is an acoustic system that measures both the depth and the backscatter strength, simultaneously. Such systems transmit a series of beams to the seafloor and receive their backscatter strengths (BS). They can be described as a function of the incident angle based on the Lambert law. Seafloor sediment classification is an important application of these data. In different studies, angular dependence has been used for this purpose. A complication occurs when the sediment types change along the swath, because it is difficult to separate from the beam angular dependence and the true backscatter strength variations. Therefore, these data should become independence of the angle. In this paper, two statistical methods based on the histogram matching are compared for removing the angular dependence: 1) histogram matching using the statistical moments, and 2) histogram matching using the image processing technique. These methods will register the BS data of large grazing angles (close to nadir) to the reference low grazing angle. Finally we will apply the two methods to a MBES data set of the Waal river, the Netherlands and compare the results.
SP - 55
EP - 73
AU - Lesani-Gooya, Samane
AU - Amiri-Simkooei, Alireza
AU - Momeni-Shahraki, Mehdi
AU - Kakhani, Nafise
AD - University of Isfahan
KW - Multi-Beam Echo-Sounder (MBES)
KW - Backscatter Strength
KW - Angular Dependence
KW - Histogram Matching
KW - Statistical Moment
UR - http://jgit.kntu.ac.ir/article-1-112-en.html
DO - 10.29252/jgit.2.1.55
ER -