TITLE:
Research on Extraction Method of Surface Information Based on Multi-Feature Combination Such as Fractal Texture
AUTHORS:
Zhen Chen, Yiyang Zheng
KEYWORDS:
Complex Surface Remote Sensing Information Extraction, Remote Sensing Land Classification, Transfer Learning, Brownian Motion Fractal Texture
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.11 No.10,
October
19,
2023
ABSTRACT: Because of the developed economy and lush vegetation in southern China, the following obstacles or difficulties exist in
remote sensing land surface classification: 1) Diverse surface
composition types; 2) Undulating terrains; 3) Small fragmented land; 4)
Indistinguishable shadows of surface objects. It is our top priority to clarify
how to use the concept of big data (Data mining technology) and various new
technologies and methods to make complex surface remote sensing information
extraction technology develop in the direction of automation, refinement and
intelligence. In order to achieve the above research objectives, the paper takes the Gaofen-2 satellite data produced in China as the data source, and takes the complex surface remote sensing
information extraction technology as the
research object, and intelligently analyzes the remote sensing
information of complex surface on the basis of completing the data collection
and preprocessing. The specific extraction methods are as follows: 1)
extraction research on fractal texture features of Brownian motion; 2)
extraction research on color features; 3) extraction research on vegetation
index; 4)
research on vectors and corresponding classification. In this paper, fractal
texture features, color features, vegetation features and spectral features of
remote sensing images are combined to form a combination feature vector, which
improves the dimension of features, and the feature vector improves the
difference of remote sensing features, and it is more conducive to the
classification of remote sensing features, and thus it improves the
classification accuracy of remote sensing images. It is suitable for remote
sensing information extraction of complex surface in southern China. This
method can be extended to complex surface area in the future.