Full
Outline
The large phase gradient disrupts the assumption of phase continuity, often leading to an underestimation of deformation, which has become one of the key challenges constraining the accurate phase unwrapping of PSDS-InSAR technology. Although phase unwrapping methods assisted by deep learning and external prior information can alleviate this issue to some extent, their performance is often limited by factors such as insufficient model generalization capability and difficulties in obtaining external information. To address the problem of large-gradient phase unwrapping in PSDS-InSAR, we propose a data self-assisted iterative three-dimensional phase unwrapping algorithm that does not require external information based on the stepwise three-dimensional unwrapping algorithm. This algorithm uses the preliminarily estimated deformation phase model as prior information, and iteratively estimates and separates the trend phase to gradually reduce the phase gradient, thereby achieving robust phase unwrapping relying on the inherent information of the dataset. Experimental results using real data demonstrate that the proposed algorithm can accurately recover large-gradient phase information, achieving deformation monitoring with high spatial coverage, high accuracy, and high robustness.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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