Remote sensing retrieval based on machine learning algorithm: Uncertainty analysis
نویسندگان
چکیده
饿忼æ¯å®éé¥æçæ ¸å¿å 容ä¹ä¸ï¼åªæå®ç°é«ç²¾åº¦çåæ°åæ¼ï¼æè½æé«é¥ææ°æ®çå©ç¨æçï¼ä»èè¿ä¸æ¥æ¨è¿å®é饿çåå±ãåºäºæºå¨å¦ä¹ ç饿忰忼å åå©ç¨äºå«æå¤§æ°æ®çä¼å¿ï¼è½å¤é¿å å ç©ç模å带æ¥ç夿å¤çå计ç®è¿ç¨ï¼åæ¶åå°ç±é¥ææ°æ®é¢å¤çå æ¬å 使 ¡æ£ãè¾å°æ ¡æ£ãå¤§æ°æ ¡æ£çå¼èµ·çä¸ç¡®å®æ§ï¼å æ¤è¢«åºç¨äºé¥æåæ¼ä¸ãç¶èï¼æºå¨å¦ä¹ å¨é¥æåæ¼ä¸çæç¨åè½åéè¦å®¢è§çå¾ ãæ¬æéç¹å¯¹æºå¨å¦ä¹ å¨é¥æåæ¼ä¸çåºç¨è¿è¡è®ºè¿°ãé¦å å¨æç®æ£ç´¢çåºç¡ä¸æ»ç»äºç®åæºå¨å¦ä¹ å¨é¥æåæ¼æ¹é¢çåºç¨ç°ç¶ãç¶åæ»ç»äºå ç§å ¸åçæºå¨å¦ä¹ ç®æ³çåçåç¹ç¹ãæåï¼éç¹è®ºè¿°äºåºäºæºå¨å¦ä¹ ç饿忼ä¸ç¡®å®æ§äº§ççå ç§ä¸»è¦å ç´ ï¼å æ¬æºå¨å¦ä¹ ç®æ³çéæ©ãè¾ å©åéçéæ©ãåéæ°æ®éçæ¥æºååç¡®æ§ãè®ç»æ ·æ¬ç鿩忍¡åç跨尺度ãè·¨åºååºç¨çã卿ºå¨å¦ä¹ ç®æ³çå®é åºç¨ä¸ï¼åºç»¼åèèè¿äºå å¯è½ä¼å¼èµ·çä¸ç¡®å®æ§ï¼ä»èéæ©æä¸ºåéçç®æ³åæ ·æ¬ï¼æé«ç»æçå确度åå¯ä¿¡åº¦ã
منابع مشابه
1 Machine learning techniques in remote sensing data analysis
Several applications have been developed in the field of remote sensing image analysis during the last decades. Besides well-known statistical approaches, many recent methods are based on techniques taken from the field of machine learning. A major aim of machine learning algorithms in remote sensing is supervised classification, which is perhaps the most widely used image classification approa...
متن کاملRemote Sensing Based Retrieval of Snow Cover Properties Case Study (Shirkooh Mountain Yazd, Iran)
Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...
متن کاملRemote Sensing Based Retrieval of Snow Cover Properties Case Study (Shirkooh Mountain Yazd, Iran)
Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...
متن کاملEvaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)
Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...
متن کاملSegmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)
The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information. There are different types of segmentation methods among which using superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...
متن کاملذخیره 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: Journal of remote sensing
سال: 2023
ISSN: ['1007-4619', '2095-9494']
DOI: https://doi.org/10.11834/jrs.20221172