Image analysis device and image analysis method

An image analysis method, implemented by a processor, comprising:

• obtaining, using synthetic aperture radar (SAR) technology, multiple SAR images in which a same area is recorded;
• selecting multiple first pixels at a plurality of positions in a first SAR image among the multiple SAR images, identifying second pixels in one or more second SAR images corresponding to a same position as one of the first pixels in the first SAR image, and specifying a common position in the first SAR image and the second SAR image;
• optimizing an evaluation function by bringing an evaluation value closer to a spatial correlation phase estimate and a pixel value at the specified common position;
• compressing a complex vector as the evaluation value obtained by optimizing the evaluation function into a low-dimensional space;
• and
• returning a compressing result to an original pixel space, and calculating a spatial correlation phase estimate,
• wherein the evaluation function comprises adding first terms corresponding to observed pixel values and second terms corresponded to the spatial correlation phase estimate by weighting a product of a complex number indicating the pixel value at the specified common position and a conjugate complex number of the complex number.

A non-transitory computer readable recording medium storing an image analysis program which, when executed by a processor, performs:

• obtaining, using synthetic aperture radar (SAR) technology, multiple SAR images in which a same area is recorded;
• selecting multiple first pixels at a plurality of positions in a first SAR image among the multiple SAR images, identifying second pixels in one or more second SAR images corresponding to a same position as one of the first pixels in the first SAR image, and specifying a common position in the first SAR image and the second SAR image;
• optimizing an evaluation function by bringing an evaluation value closer to a spatial correlation phase estimate and a pixel value at the specified common position;
• compressing a complex vector as the evaluation value obtained by optimizing the evaluation function into a low-dimensional space;
• returning a compressing result to an original pixel space, and calculating a spatial correlation phase estimate;
• and
• optimizing the evaluation function by bringing the evaluation value closer to the spatial correlation phase estimate and a pixel value at the selected position,
• wherein the evaluation function comprises adding first terms corresponding to observed pixel values and second terms corresponded to the spatial correlation phase estimate by weighting a product of a complex number indicating the pixel value at the specified common position and a conjugate complex number of the complex number.