Research on cloud detection for HY-1C CZI remote sensing images collected over lands
نویسندگان
چکیده
æè½½å¨ä¸å½é¦é¢æµ·æ´æ°´è²ä¸å¡å«æHY-1Cä¸ç海岸带æå仪CZIï¼Coast Zone Imagerï¼äº2019å¹´6æå¼å§ä¸å¡åè¿è¡ï¼å ¶è·åç大é海岸带ãéå°åæµ·æ´æ°æ®å¯¹äºæµ·æ´ç¾å®³ä¸ç¯å¢çæµç ç©¶å ·æéè¦æä¹ãCZI对å°è§æµåäºå¹²æ°ï¼å½±åæ°æ®çåç»åºç¨ãç°æçäºæ£æµç®æ³å¤§é½åºäºRGBå¾åæè å å«ç红å¤çå¤å è°±å±å¼ï¼å¯¹äºHY-1C CZIè¿ç±»RGB-è¿çº¢å¤4个波段é¥æå¾åç 究è¾å°ã为æ¤ï¼æ¬ææåºäºä¸ç§é对HY-1C CZIé¥æå¾åçéçç£é¥æå¾åäºæ£æµæ¹æ³ã该æ¹æ³å å«è®ç»æ ·æ¬éæ©ãç¹å¾æåãæ¯æåéæºSVMï¼Support Vector Machineï¼åç±»ååå¤çè¿4个è¿ç¨ãå¨è®ç»æ ·æ¬éæ©ä¸ï¼ç»åæééåå°çãå½ä¸åæ¤è¢«ææ°åç½åº¦ææ°ï¼æåºäºä¸ç§è®ç»æ ·æ¬èªå¨æåç®æ³ã该ç®æ³ä½¿ç¨ç½åº¦ææ°ä½ä¸ºé¥æå¾åç»èä¿¡æ¯æåæ°æ®æºï¼å¹¶éè¿éæ¥ç»åè¿ç¨ç²¾ç¡®æåæ ·æ¬ãé对ç¹å¾æåï¼éåå¾åç空âè°±ç¹å¾ä¿¡æ¯ï¼å å«åå°çãå è°±ææ°ã纹çåç»æç¹å¾ï¼ä½¿äºä¸éäºåºåçå·®å¼æ大åãåºäºèªå¨æåçè®ç»æ ·æ¬åå ¶ç¹å¾æè¿°ï¼éç¨SVM对CZIé¥ææ°æ®è¿è¡ååç±»ï¼å¹¶å¨æ¤åºç¡ä¸è¿è¡å¯¼å滤波ãåæ´å¡«å åå ä½å¤æåå¤çï¼ä»¥è·åäºæ£æµç»æã该ç®æ³çä¼å¿å¨äºï¼ï¼1ï¼æ é人工æ 注å³å¯èªå¨è·åè®ç»æ ·æ¬ï¼ï¼2ï¼è½å¤å åå©ç¨è¿çº¢å¤æ³¢æ®µä¿¡æ¯ãæ¬æå°è¯¥ç®æ³è¿ç¨äºæ¤è¢«ãå壤ã湿å°åå°éªåºæ¯è¿4ç§å ¸ååºæ¯ä¸ï¼å¹¶ä¸ç®åæµè¡çéçç£äºæ£æµç®æ³å¯¹æ¯åæãç¸è¾äºå ¶ä»äºæ£æµç®æ³ï¼å®æ§åæç»æ表ææ¬æäºæ£æµç»æä¸äººå·¥æ 注çäºåå¸çå®å¾å ·æè¾å¥½çä¸è´æ§ï¼å®éç»æ表ææ¬ææåºçç®æ³å¨å个åºæ¯ä¸é½å ·ææä½çé误çãéè¿ä»¥ä¸å¯¹æ¯åæï¼è¡¨ææ¬ææåºçäºæ£æµç®æ³å¨ä¸åçåºæ¯ä¸è¯å«ç»æé½æ´å åç¡®ï¼è¯æäºæ¬æç®æ³å¯¹äºHY-1C CZIéå°é¥æå¾åäºæ£æµçæææ§ã
منابع مشابه
Rapid processing of remote sensing images based on cloud computing
The rapid processing of remote sensing (RS) images is essential in many large-scale real-time monitoring, such as meteorological monitoring and natural disaster warning. However, the computation cost of RS is often expensive, traditional RS processing methods can not satisfy the time requirement of dynamic monitoring. Fortunately, cloud computing not only provides an effective service for date ...
متن کاملTargeted change detection in remote sensing images
Recent developments in the remote sensing systems and image processing made it possible to propose a new method of the object classification and detection of the specific changes in the series of satellite Earth images (so called targeted change detection). In this paper we propose a formal problem statement that allows to use effectively the deep learning approach to analyze time-dependent ser...
متن کاملFuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
Cloud detection of remote sensing imagery is quite challenging due to the influence of complicated underlying surfaces and the variety of cloud types. Currently, most of the methods mainly rely on prior knowledge to extract features artificially for cloud detection. However, these features may not be able to accurately represent the cloud characteristics under complex environment. In this paper...
متن کاملA Survey on Object Detection in Optical Remote Sensing Images
Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wide range of applications and is receiving significant attention in recent years. While enormous methods exist, a deep review of the literature concerning generic object detection is still lacking. This paper aims to p...
متن کاملReconstruction of Cloud Contaminated Remote Sensing Images Using Inpainting Strategy
This paper focuses a method for cloud detection and their reconstruction technique. Detecting these portions of an image and then filling in the missing data is an important photo editing work. The filling-in approach such as inpainting techniques, which aim at filling holes in remote sensing images by propagating surrounding structures and texture information. Inpainting technique is a novel m...
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.20221535