The invention relates to an
aliasing image target recognition and positioning
algorithm based on sub-view-field shape
modulation coding, relates to the technical field of
aliasing image target recognition and view field judgment and positioning, and solves the technical problem that the scale and view field of a
detector cannot be considered when large-view-field and high-resolution imaging is realized under the condition of a limited
detector in the prior art. The
algorithm comprises the following steps: identifying a foreground target; tracking a target rotation state; and judging the relevance between the target motion trail and the
light spot shape change trend and inversely solving the actual spatial position. According to the
aliasing image target recognition and positioning
algorithm based on sub-view-field shape
modulation coding, space-based early warning and large-width detection are achieved through the advantages of low
power consumption and low cost of a
small target surface
detector, and the
bottleneck that large-view-field imaging of an
infrared optical
system is limited by the manufacturing process of an
infrared detector is broken through. According to the invention, through continuous frame
light spot morphological
feature extraction and trajectory-shape double-domain correlation modeling, unique determination and high-precision positioning of a view field of an object space where a target is located are realized.