Abstract: The present application provides a method for testing the coverage effect of a VHF communication base station, including: a server sending preset test parameter information to a mobile station, sending a first start test instruction to the mobile station and at least one base station, and receiving first audio data and first location information sent by the at least one base station, and second audio data and second location information sent by the mobile station. By using the mobile stations to send or receive audio data at different distances to a temporary VHF communication base station, it is possible to accurately determine a coverage distance of the temporary VHF communication base station and a transmission effect of the audio data at different communication distances.

Abstract: The present application provides a method for testing the coverage effect of a VHF communication base station, including: a server sending preset test parameter information to a mobile station, sending a first start test instruction to the mobile station and at least one base station, and receiving first audio data and first location information sent by the at least one base station, and second audio data and second location information sent by the mobile station. By using the mobile stations to send or receive audio data at different distances to a temporary VHF communication base station, it is possible to accurately determine a coverage distance of the temporary VHF communication base station and a transmission effect of the audio data at different communication distances.

Abstract: A method of extracting an image of a port wharf through multispectral interpretation includes: first, extracting a blurred coastline by assigning values to grayscale values; then, performing a smoothing and noise removal processing on a remote sensing image in a targeted area to extract edge information; sequentially, establishing a multispectral database of a targeted port wharf; and extracting a port wharf using a projected eigenvector, performing an MAF transformation on the regularized kernel function again, projecting multivariate observed values to original eigenvectors, and identifying a remote sensing image area corresponding to the original eigenvector smaller than a transformation variance as a port wharf to be extracted, and then carrying out a validation operation.

Abstract: 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.

Abstract: 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.

Abstract: A method of extracting an image of a port wharf through multispectral interpretation includes: first, extracting a blurred coastline by assigning values to grayscale values; then, performing a smoothing and noise removal processing on a remote sensing image in a targeted area to extract edge information; sequentially, establishing a multi spectral database of a targeted port wharf; and extracting a port wharf using a projected eigenvector, performing an MAF transformation on the regularized kernel function again, projecting multivariate observed values to original eigenvectors, and identifying a remote sensing image area corresponding to the original eigenvector smaller than a transformation variance as a port wharf to be extracted, and then carrying out a validation operation.