Applicability of weak samples to deep learning crop classification
نویسندگان
چکیده
åºäºå¤§æ°æ®é©±å¨ç深度å¦ä¹ ææå¾åæ°æ®çè§å¾å屿¬¡å·²æä¸ºé¥æå½±åè§£è¯çç ç©¶çç¹ãæµ·éæ ç¾æ ·æ¬æ¯è®ç»æ·±åº¦å¦ä¹ 模åçåææ¡ä»¶ï¼ä½ææ¬æè´µç人工æ è®°æ ·æ¬éå¶äºæ·±åº¦å¦ä¹ ææ¯å¨é¥æé¢åçåºç¨ãæ¬ææåºäºä¸ç§åºäºå¼±æ ·æ¬ç深度å¦ä¹ 模ååä½ç©åç±»çç¥ï¼ä»¥GF-1å½±åä¸ºæ°æ®æºï¼å°ä¼ ç»åç±»å¨SVMåç±»ç»æè§ä¸ºå¼±æ ·æ¬ï¼è®ç»æ·±åº¦å·ç§¯ç½ç»æ¨¡åDCNNï¼Deep Convolutional Neural Networksï¼ï¼è·åè¾½å®ç水稻åçç±³ç空é´åå¸ï¼åæå¼±æ ·æ¬çéç¨æ§ãç»ææ¾ç¤ºï¼æµè¯éæ»ä½ç²¾åº¦è¾¾å°0.90ï¼æ°´ç¨»åçç±³F1åæ°åå«ä¸º0.81å0.90ï¼å¨ä¸åå°å½¢å°è²ãå¤æç§æ¤ç»æçå䏿¯è§ä¸å表ç°åºè¯å¥½çåç±»ææï¼ä¸SVMç»æç空é´ä¸è´æ§ä¸º0.90ï¼å½å¼±æ ·æ¬æå¤§é¢ç§¯è¯¯å·®æ¯ä¾å°äº0.36æ¶ï¼å¼±æ ·æ¬ä»éç¨äºDCNNä½ç©åç±»ï¼ç»æçæ»ä½ç²¾åº¦ä¿æå¨0.86以ä¸ã综ä¸ï¼è¯¥çç¥ä¸å®ç¨åº¦ä¸æ¶é¤äºæ·±åº¦å¦ä¹ 模å对大éäººå·¥æ ·æ¬é«åº¦ä¾èµçå±éæ§ï¼ä¸ºå®ç°å¤§å°ºåº¦åä½ç©é¥æåç±»æä¾äºä¸ç§æ°éå¾ã
منابع مشابه
Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques
Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...
متن کاملDeep learning approach to bacterial colony classification
In microbiology it is diagnostically useful to recognize various genera and species of bacteria. It can be achieved using computer-aided methods, which make the recognition processes more automatic and thus significantly reduce the time necessary for the classification. Moreover, in case of diagnostic uncertainty (the misleading similarity in shape or structure of bacterial cells), such methods...
متن کاملGender Classification with Deep Learning
For our project, we consider the task of classifying the gender of an author of a blog, novel, tweet, post or comment. Previous attempts have considered traditional NLP models such as bag of words and n-grams to capture gender differences in authorship, and apply it to a specific media (e.g. formal writing, books, tweets, or blogs). Our project takes a novel approach by applying deep learning m...
متن کاملCrop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images
Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...
متن کاملDeep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning
Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...
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: 2022
ISSN: ['1007-4619', '2095-9494']
DOI: https://doi.org/10.11834/jrs.20221127