The invention relates to the technical field of
spaceflight measurement and control and space
situation awareness, and discloses a
satellite orbit maneuver detection method based on multichannel residual imaging, which comprises the following steps: acquiring an
orbit element actual observation value, acquiring an
orbit element theoretical value, calculating an orbit element residual sequence based on the orbit element actual observation value and the orbit element theoretical value, and calculating the orbit element maneuver according to the orbit element residual sequence. The method comprises the following steps of: extracting multiple feature channels, respectively carrying out Gramer angle
field transformation on a residual sequence of each feature channel to obtain a multi-channel GAF image, constructing a classification model based on a deep neural network, and carrying out
feature extraction and orbit maneuver judgment on the multi-channel GAF image. According to the method, the Gramb angle
field transformation is applied to
satellite orbit
data processing for the first time, unequally spaced TLE time sequences are converted into regular two-dimensional images, the mature
computer vision technology can be directly applied to maneuvering detection tasks, the
time sequence correlation of the time sequences is reserved through GAF transformation, the time sequences are coded into space structure features of the images, and the space structure features of the images are obtained. And
deep learning model extraction and learning are facilitated.