Automatic extraction of red raspberry planting areas using time series multispectral images

نویسندگان

چکیده

æ ‘èŽ“æœ‰â€œç¬¬ä¸‰ä»£é»„é‡‘æ°´æžœâ€çš„ç¾Žèª‰ï¼Œå¯¹äºŽçº¢æ ‘èŽ“ä¹‹ä¹¡â€”â€”å°šå¿—è€Œè¨€ï¼Œå‡†ç¡®èŽ·å–æ ‘èŽ“çš„ç§æ¤é¢ç§¯å¯¹è¯¥åŒºåŸŸçš„å†œä½œç‰©ç§æ¤ç»“æž„è°ƒæ•´ã€äº§ä¸šå‘å±•æœ‰ç€é‡å¤§çš„æ„ä¹‰ã€‚ä»¥é»‘é¾™æ±Ÿçœå°šå¿—å¸‚è‹‡æ²³é•‡å‘¨å®¶è¥å­æ‘ä¸ºç ”ç©¶åŒºï¼Œåˆ©ç”¨Sentinel-2æ•°æ®è¾ƒé«˜çš„ç©ºé—´å’Œæ—¶é—´åˆ†è¾¨çŽ‡ï¼ŒèŽ·å¾—ç ”ç©¶åŒºçš„æ—¶åºæ•°æ®ï¼ŒåŸºäºŽè¯¥å½±åƒå‰–æžç ”ç©¶åŒºä½œç‰©æˆé•¿ä¸­æ¯ä¸ªæ—¶æœŸçš„å ‰è°±ç‰¹æ€§å’Œå½’ä¸€åŒ–æ¤è¢«æŒ‡æ•°çš„æ—¶åºå˜åŒ–ï¼Œé‡‡ç”¨CARTç®—æ³•å¼€å±•äº†ç ”ç©¶åŒºæ ‘èŽ“ç§æ¤é¢ç§¯ä¼°è®¡çš„ç ”ç©¶ã€‚ä¸Žä» ä¾æ®å¤šæ—¶ç›¸é¥æ„Ÿå½±åƒå¾—åˆ°çš„ç§æ¤åŒºåŸŸç»“æžœå¯¹æ¯”ï¼ŒæŽ¢ç©¶NDVI时序数据的参与给区域提取精度带来的变化,并与基于最佳时相数据的面向对象分类和支持向量机分类两种分类算法所得的结果相比较。实验结果表明:基于时序CARTç®—æ³•çš„ä¸¤ç§æ–¹æ³•æå–æ ‘èŽ“ç§æ¤é¢ç§¯è¾ƒå¦å¤–ä¸¤ç§åˆ†ç±»ç®—æ³•éƒ½æœ‰æ›´ç†æƒ³çš„æ•ˆæžœï¼Œå¯ä»¥å¾—åˆ°ä½œç‰©ç§æ¤é¢ç§¯ä¸Žç©ºé—´åˆ†å¸ƒï¼Œèƒ½å¤Ÿæ»¡è¶³ä½œç‰©ç›‘æµ‹çš„éœ€æ±‚ï¼›åœ¨åˆ©ç”¨å¤šæ—¶ç›¸æ•°æ®åˆ†ç±»çš„åŸºç¡€ä¸Šï¼ŒNDVIæ—¶åºæ•°æ®çš„åŠ å ¥ï¼Œä½¿ä½œç‰©ä¹‹é—´çš„å ‰è°±å·®å¼‚å¾—ä»¥æ”¾å¤§ï¼Œåˆ†ç±»ç²¾åº¦å¾—åˆ°æå‡ï¼Œç›¸æ¯”ä» ä¾æ®Sentinel-2多时相数据分类精度提高了1.67%,Kappa系数提高了0.02。

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...

متن کامل

An Automatic Detection of the Fire Smoke Through Multispectral Images

One of the consequences of a fire is smoke. Occasionally, monitoring and detection of this smoke can be a solution to prevent occurrence or spreading a fire. On the other hand, due to the destructive effects of the smoke spreading on human health, measures can be taken to improve the level of health services by zoning and monitoring its expansion process. In this paper, an automated method is p...

متن کامل

Herbal plants zoning using target detection algorithms on time-series of Sentinel-2 multispectral images (Amygdalus Scoparia)

Today, medicinal plants have a special place in the economy and health of a society. Due to the natural growth of many of these products, the necessity of zoning them for optimum and optimal utilization seems necessary. Traditional zoning solutions are not efficient due to their low accuracy and speed, therefore a new approach is needed. Remote sensing data have many applications in various fie...

متن کامل

Automatic Road Extraction from Multispectral High Resolution Satellite Images

In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 spectral bands, high resolution satellite data comprises 4 spectral bands with a better radiometric quality compared to film, but a worse geometric resolution. Therefore, strongly making use of the ...

متن کامل

Automatic time-series phenotyping using massive feature extraction

Phenotype measurements frequently take the form of time series, but we currently lack a systematic method for relating these complex data streams to scientifically meaningful outcomes, such as relating the movement dynamics of a model organism to their genotype, or measurements of brain dynamics of a patient to their disease diagnosis. Here we report a new tool, hctsa, that automatically select...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Guangxue jingmi gongcheng

سال: 2023

ISSN: ['1004-924X']

DOI: https://doi.org/10.37188/ope.20233107.1096