geosciences-geochemistry-2018-scientifictracks

3 / 12

Page 29
Notes:
Journal of Remote Sensing & GIS | ISSN: 2469-4134 | Volume: 7
&
Geosciences and Remote Sensing
Geochemistry, Environmental Chemistry and
Atmospheric Chemistry
3rd International Convention on
October 19-20, 2018 | Ottawa, Canada
An HSV and LBP-based method for identifying surface state
Xiaojie Li
Northeast Institute of Geography and Agroecology, China
Aremote sensing method is usually used to invert the surface information, and which method to use varies with the surface
state. Therefore, surface state identification is a prerequisite for inverting the surface information and the precision of
identification determines the precision of the inverse calculation. This paper presents an HSV and LBP-based method to
identify in real-time the state of the surface in the field. In this method, the LBP operator with an improved threshold is
combined with the color histogram to form a single feature vector and the discriminant conditions are established. Then,
the KNN algorithm is used to calculate the similarity between the single feature vector and the surface image to identify and
classify the surface state. This method is tested on 200 randomly selected images taken in the field, and the result shows that the
precision of identification is 100%, much higher than 95%, which is the precision of the LBP-based method.
Biography
Xiaojie Li received her PhD degree in optical engineering in 2010 from Tianjin University, Tianjin, China. Her major fields of study mainly include photoelectric
detection technology, remote sensing data processing and high performance computing. She is presently an associate professor in Northeast Institute of Geography
and Agroecology, Chinese Academy of Sciences, China. Her current interests include remote sensing data processing and high performance computing.
Xiaojie Li, J Remote Sensing & GIS 2018, Volume: 7
DOI: 10.4172/2469-4134-C2-014