Learning model, signal processor, flying object, and program
The purpose of the present invention is to provide a learning model, a signal processor, a flying object, and a program that enable appropriate observation of the situation of an observed object or the environment around the observed object. The learning model is learned by using teaching data with a first received signal as input, the first received signal being based on a reflected electromagnetic wave that is an electromagnetic wave emitted to a first target area and then reflected, and with first meta-information as output, the first meta-information corresponding to the first received signal and having a predetermined item, so as to input a second received signal based on a reflected electromagnetic wave that is an electromagnetic wave emitted to a second target area and then reflected, and to output second meta-information corresponding to the second received signal and having a predetermined item.
1 . A signal processor, comprising:
a storage unit that stores a learning model that is trained using teaching data comprising as input a first synthetic aperture radar (SAR) received signal obtained based on the reflected electromagnetic wave emitted to a first target area and then reflected a first generated signal produced from the first SAR received signal, and as output, first meta-information having a predetermined item corresponding to the first SAR received signal,
wherein, when a second SAR received signal obtained based on the reflected electromagnetic wave irradiated to a second target area and a second generated signal produced from the second SAR received signal are input, the learning model outputs second meta-information corresponding to the second SAR received signal and having the predetermined item.
2 . The signal processor according to claim 1 , wherein the learning model is trained using teaching data that comprises as input the first SAR received signal and information indicating the environment in the first target area, and as output, first meta-information corresponding to the first SAR received signal,
wherein when the second SAR received signal and information indicating the environment in the second target area are input, the learning model outputs second meta-information corresponding to the second SAR received signal.
3 . The signal processor according to claim 1 , wherein the learning model is trained using teaching data in which the first meta-information that includes information indicating the environment in the first target area is used as the output, and the learning model outputs second meta-information that includes information indicating the environment in the second target area.
4 . The signal processor according to claim 1 , further comprising:
a signal acquisition unit that acquires the second SAR received signal; and
an estimation unit that inputs the second SAR received signal into the learning model and estimates the second meta-information.
5 . A flying object comprising the signal processor according to claim 1 , the signal processor further comprising:
a signal acquisition unit that acquires the second SAR received signal;
an estimation unit that inputs the second SAR received signal into the learning model and estimates the second meta-information; and
a signal output unit that outputs an output signal based on the second meta-information to the outside.
6 . A non-transitory computer-readable medium storing computer program which, when executed by a computer having a storage unit in which the learning model according to claim 1 is stored, performs:
a signal acquisition process for acquiring the second SAR received signal; and
an estimation process that inputs the second SAR received signal into the learning model and estimates the second meta-information.
7 . The non-transitory computer-readable medium storing program according to claim 6 that further causes the computer to perform a signal output process that outputs an output signal based on the second meta-information.