Transport Planning and Research Institute Ministry of Transport

Lei Mei

Rui Li

Jing Yang

Dachuan Wang

Yue Qi

Lu Sun

Min Dong

Jia Tian

Zhuo Fang

Xiangjun Nie

A method of extracting a warehouse in a port from a hierarchically screened remote sensing image includes the following steps: first, recognizing a texture feature of a remote sensing image and extracting edge lines of a coast of a port; then, selecting a sample of an optional irregular texture region and forming, through a CA transformation, principal component images of different hierarchies by taking a ratio of a between-class difference to an intra-class difference being maximum as an optimization condition; sequentially, extracting a correlation relationship of the warehouse in the port, and forming a feature point set with recognized warehouses to be analyzed; and last, extracting a feature of a visually sensitive image through a scene image to obtain a feedback selection of a real scene image to extract the warehouse in the port accurately.

Method of extracting warehouse in port from hierarchically screened remote sensing image

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Beijing, China

Lei Mei