A dual-attention capsule network for building extraction from high-resolution remote sensing imagery

نویسندگان

چکیده

é«˜åˆ†è¾¨çŽ‡é¥æ„Ÿå½±åƒå»ºç­‘ç‰©è‡ªåŠ¨æå–åœ¨é˜²ç¾å‡ç¾ã€ç¾å®³ä¼°æŸã€åŸŽå¸‚è§„åˆ’å’Œåœ°å½¢å›¾åˆ¶ä½œç­‰æ–¹é¢å ·æœ‰é‡è¦æ„ä¹‰ã€‚ä½†æ˜¯ï¼Œç›®å‰å¸¸ç”¨çš„ä¼ ç»Ÿå·ç§¯ç¥žç»ç½‘ç»œæ¨¡åž‹å­˜åœ¨å¼‚å˜æ€§å¼ºè€ŒåŒå˜æ€§å¼±ç¼ºé™·ã€‚é’ˆå¯¹è¯¥é—®é¢˜ï¼Œæœ¬æ–‡æå‡ºä¸€ç§åŸºäºŽé€šé“å’Œç©ºé—´åŒæ³¨æ„åŠ›èƒ¶å›Šç¼–ç â€”è§£ç ç½‘ç»œDA-CapsNet(dual-attention capsule encoder-decoder networkï¼‰çš„å»ºç­‘ç‰©æå–é€šç”¨æ¨¡åž‹ã€‚è¯¥æ¨¡åž‹é€šè¿‡èƒ¶å›Šå·ç§¯å’Œç©ºé—´â€”é€šé“åŒæ³¨æ„åŠ›æ¨¡å—å¢žå¼ºé«˜åˆ†è¾¨çŽ‡é¥æ„Ÿå½±åƒä¸­å»ºç­‘ç‰©é«˜é˜¶ç‰¹å¾è¡¨è¾¾èƒ½åŠ›ï¼Œå®žçŽ°å»ºç­‘ç‰©é®æŒ¡éƒ¨åˆ†ä»¥åŠå¯¹éžå»ºç­‘ä¸é€æ°´å±‚çš„å‡†ç¡®æå–ä¸ŽåŒºåˆ†ã€‚æ¨¡åž‹é¦–å ˆåˆ©ç”¨èƒ¶å›Šç¼–ç ç»“æž„æå–å¹¶èžåˆå¤šå°ºåº¦å»ºç­‘ç‰©èƒ¶å›Šç‰¹å¾ï¼ŒèŽ·å¾—é«˜è´¨é‡å»ºç­‘ç‰©ç‰¹å¾è¡¨è¾¾ã€‚ä¹‹åŽï¼Œè®¾è®¡é€šé“å’Œç©ºé—´æ³¨æ„åŠ›ç‰¹å¾æ¨¡å—è¿›ä¸€æ­¥å¢žå¼ºå»ºç­‘ç‰©ä¸Šä¸‹æ–‡è¯­ä¹‰ä¿¡æ¯ï¼Œæé«˜æ¨¡åž‹æ€§èƒ½ã€‚æœ¬æ–‡é€‰å–3种高分辨率建筑物数据集进行试验,最终的平均精度、召回率和F1-score分别为92.15%、92.07%和92.18%。结果表明,本文提出的DA-CapsNetèƒ½æœ‰æ•ˆå ‹æœé«˜åˆ†è¾¨çŽ‡é¥æ„Ÿå½±åƒä¸­çš„ç©ºé—´å¼‚è´¨æ€§ã€åŒç‰©å¼‚è°±ã€å¼‚ç‰©åŒè°±ä»¥åŠé˜´å½±é®æŒ¡ç­‰å½±å“ï¼Œå®žçŽ°å¤æ‚çŽ¯å¢ƒä¸‹çš„é«˜ç²¾åº¦å»ºç­‘ç‰©è‡ªåŠ¨æå–ã€‚

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ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2022

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20221577