Spectral weighted sparse unmixing of hyperspectral images based on framelet transform

نویسندگان

چکیده

ç©ºåŸŸä¸­é«˜å ‰è°±æ•°æ®ç”±äºŽä¿¡æ¯è¿‡äºŽåˆ†æ•£ï¼Œå†—ä½™è¿‡å¤šï¼Œä¸”æ˜“å—å™ªå£°çš„å½±å“ï¼Œå ¶ç‰¹å¾æå–éš¾åº¦è¾ƒå¤§ã€‚ä¸ºäº†æé«˜é«˜å ‰è°±å›¾åƒè§£æ··çš„é²æ£’æ€§å’Œç¨€ç–æ€§ï¼Œæå‡ºäº†ä¸€ç§frameletå˜æ¢é«˜å ‰è°±å›¾åƒå ‰è°±åŠ æƒç¨€ç–è§£æ··æ–¹æ³•ã€‚ä»‹ç»äº†é«˜å ‰è°±ç¨€ç–è§£æ··å’Œframelet变换方法的理论知识,接着利用frameletå˜æ¢å¯¹é«˜å ‰è°±å›¾åƒè§£æ··å»ºæ¨¡ï¼Œå¹¶ä¸”åœ¨è¯¥æ¨¡åž‹ä¸ŠåŠ å ¥å˜æ¢åŸŸå æƒç¨€ç–æ­£åˆ™é¡¹ï¼Œæå‡ºframeletå˜æ¢çš„é«˜å æƒç¨€ç–è§£æ··æ¨¡åž‹ã€‚最后,利用交替方向乘子法对模型进行求解。实验结果表明:信号与重建误差比(SRE)提高12.4%~1 045%,丰度重构正确率(Ps)保持在16%çš„è¯¯å·®å† ã€‚ä¸Žå ¶ä»–ç›¸å ³ç¨€ç–è§£æ··æ–¹æ³•ç›¸æ¯”ï¼Œæœ¬æ–‡æå‡ºçš„ç®—æ³•å ·æœ‰è‰¯å¥½çš„æŠ—å™ªæ€§å’Œç¨€ç–æ€§èƒ½ï¼ŒèŽ·å¾—äº†æ›´å¥½çš„è§£æ··ç»“æžœã€‚

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ژورنال

عنوان ژورنال: Guangxue jingmi gongcheng

سال: 2023

ISSN: ['1004-924X']

DOI: https://doi.org/10.37188/ope.20233109.1404