Cropland detection with SAR interferometry: a segmentation model
نویسندگان
چکیده
Repeat-pass SAR interferometric data are multitemporal and display changes occuring between two acquisitions. As a consequence, phase and correlation images contains meaningful informations usable for cropland monitoring. This paper proposes a statistical model to segment high phasimetric structures. It is expressed in a Markov random field framework by using cooperatively phase and correlation information.
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