Litcius/Paper detail

Object-oriented crop classification for GF-6 WFV remote sensing images based on Convolutional Neural Network

Qianjing LI, LIU Jun, Xiaofei Mi, Jian Yang, Tao Yu

2021National Remote Sensing Bulletin15 citationsDOIOpen Access PDF

Abstract

GF-6 WFV影像是中国首颗带有红边波段的中高分辨率8æ³¢æ®µå¤šå ‰è°±å«æ˜Ÿçš„é¥æ„Ÿå½±åƒï¼Œå¯¹äºŽå ¶å½±åƒåŠçº¢è¾¹æ³¢æ®µå¯¹ä½œç‰©åˆ†ç±»å½±å“çš„ç ”ç©¶åˆ©ç”¨äºŸå¾ å±•å¼€ã€‚æœ¬æ–‡ç»“åˆé¢å‘å¯¹è±¡å’Œæ·±åº¦å­¦ä¹ æå‡ºä¸€ç§é€‚ç”¨äºŽGF-6 WFV红边波段的卷积神经网络(RE-CNNï¼‰é¥æ„Ÿå½±åƒä½œç‰©åˆ†ç±»æ–¹æ³•ã€‚é¦–å ˆé‡‡ç”¨å¤šå°ºåº¦åˆ†å‰²å’ŒESPå·¥å ·é€‰æ‹©æœ€ä½³åˆ†å‰²å‚æ•°å®Œæˆå½±åƒåˆ†å‰²ï¼Œé€šè¿‡é¢å‘å¯¹è±¡çš„CARTå†³ç­–æ ‘æ¶ˆé™¤æ¤’ç›çŽ°è±¡çš„åŒæ—¶æå–æ¤è¢«åŒºåŸŸï¼Œå¹¶è½¬åŒ–ä¸ºå·ç§¯ç¥žç»ç½‘ç»œçš„è¾“å ¥æ•°æ®ï¼Œæœ€åŽåŸºäºŽPython和Numpy库构建的卷积神经网络模型(RE-CNNï¼‰ç”¨äºŽå½±åƒä½œç‰©åˆ†ç±»åŠç²¾åº¦éªŒè¯ã€‚æœ‰æ— çº¢è¾¹æ³¢æ®µçš„ä¸¤ç»„åˆ†ç±»å®žéªŒç»“æžœè¡¨æ˜Žï¼šåœ¨çº¢è¾¹æ³¢æ®µç»„ï¼Œå·ç§¯ç¥žç»ç½‘ç»œï¼ˆRE-CNN)作物分类识别取得了较好的效果,总体精度高达94.38%ï¼Œç›¸æ¯”æ— çº¢è¾¹æ³¢æ®µç»„åˆ†ç±»ç²¾åº¦æé«˜äº†2.83%,验证了GF-6 WFV红边波段对作物分类的有效性。为GF-6 WFVçº¢è¾¹æ³¢æ®µå½±åƒç”¨äºŽä½œç‰©çš„åˆ†ç±»ç ”ç©¶æä¾›æŠ€æœ¯å‚è€ƒå’Œå€Ÿé‰´ä»·å€¼ã€‚

Topics & Concepts

Python (programming language)Convolutional neural networkGF(2)Computer scienceArtificial intelligencePattern recognition (psychology)MathematicsCombinatoricsOperating systemFinite fieldRemote Sensing and Land Use