但这些高分辨算法或者所需阵元数较多计算量太大、或者在求解相干源时算法失效和精度降低。

But there are some of problems in the algorithms such as the arrays with much more sensors, high computational complexity and inefficacy or low definition when applied to coherent signals.

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尝试将目标分解算法用于高分辨率极化目标的识别。

This paper applies target decomposition theory to high resolution polarization target classification.

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实验结果表明，该算法可高效地完成大范围、高分辨率遥感图像纹理的映射。

The experimental result indicated this algorithm can complete the wide range, the high resolution remote sensing image texture mapping highly effectively.

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