Feature attention pyramid-based remote sensing image object detection method

نویسندگان

چکیده

é¥æ„Ÿå›¾åƒåœºæ™¯å¤æ‚ã€ç›®æ ‡å¤§å°ä¸ä¸€ã€åˆ†å¸ƒä¸å‡è¡¡ç­‰ç‰¹ç‚¹å¢žåŠ äº†ç›®æ ‡æ£€æµ‹çš„éš¾åº¦ï¼Œè€Œé€‚äºŽæ£€æµ‹ä¸åŒå°ºåº¦ç›®æ ‡çš„ç‰¹å¾é‡‘å­—å¡”èžåˆä¸åŒæ·±åº¦çš„ç‰¹å¾å›¾æ—¶ï¼Œæ²¡æœ‰è€ƒè™‘ç‰¹å¾å›¾å„è‡ªçš„é‡è¦æ€§ï¼Œæ²¡æœ‰å¼ºè°ƒç›®æ ‡åŒºåŸŸçš„ç‰¹å¾ï¼Œä¸ºæ­¤æœ¬æ–‡æå‡ºåŸºäºŽç‰¹å¾æ³¨æ„åŠ›é‡‘å­—å¡”çš„é¥æ„Ÿå›¾åƒç›®æ ‡æ£€æµ‹æ–¹æ³•FAPNet(Feature Attention Pyramid Networkï¼‰ã€‚é¦–å ˆï¼Œä½¿ç”¨é€šé“æ‹¼æŽ¥æ–¹å¼èžåˆä¸åŒæ·±åº¦çš„ç‰¹å¾å›¾ï¼Œç»™ç”¨äºŽæ£€æµ‹çš„ç‰¹å¾å›¾æä¾›ä¸åŒå¤§å°æ„Ÿå—é‡Žçš„ç‰¹å¾ï¼Œå¹¶åŸºäºŽé€šé“æ³¨æ„åŠ›å¯¹èžåˆçš„ç‰¹å¾å›¾åœ¨é€šé“ç»´åº¦é‡æ ‡å®šï¼Œæ ¹æ®ç‰¹å¾å›¾æ‰€è´Ÿè´£æ£€æµ‹ç›®æ ‡çš„å°ºåº¦è‡ªé€‚åº”åœ°è°ƒæ•´ä¸åŒå¤§å°æ„Ÿå—é‡Žç‰¹å¾çš„æƒé‡ï¼Œå¼ºåŒ–æ„Ÿå—é‡Žå¤§å°ä¸Žå¾ æ£€æµ‹ç›®æ ‡å°ºåº¦åŒ¹é åº¦è¾ƒé«˜çš„ç‰¹å¾ï¼Œå¼±åŒ–åŒ¹é åº¦è¾ƒä½Žçš„ç‰¹å¾ã€‚å ¶æ¬¡ï¼Œä½¿ç”¨å åŠ çš„æ‰©å¼ ç©ºé—´é‡‘å­—å¡”æ± åŒ–ç»“æž„ï¼Œç»“åˆå¼±ç›‘ç£åˆ†å‰²ç½‘ç»œå»ºæ¨¡ä½ç½®æ³¨æ„åŠ›ï¼Œå¼ºåŒ–ç›®æ ‡åŒºåŸŸç‰¹å¾ï¼Œå¼±åŒ–èƒŒæ™¯åŒºåŸŸç‰¹å¾ï¼Œè¿›ä¸€æ­¥æå‡ç›®æ ‡æ£€æµ‹æ–¹æ³•çš„æ€§èƒ½ã€‚å®žéªŒç»“æžœè¡¨æ˜Žï¼Œç›¸è¾ƒäºŽRetinaNetï¼Œé’ˆå¯¹æ±½è½¦ç›®æ ‡ï¼Œæ‰€ææ–¹æ³•åœ¨UCAS-AOD数据集和RSOD数据集上检测精度AP分别提升了3.41%和2.26%ï¼Œé’ˆå¯¹å¤šç±»ç›®æ ‡æ‰€ææ–¹æ³•åœ¨å„ç›®æ ‡ä¸Šå–å¾—äº†è¾ƒä¼˜çš„AP结果,且mAPç»“æžœä¼˜äºŽå ¶ä»–æ¯”è¾ƒæ–¹æ³•ã€‚

برای دانلود رایگان 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

A Change Detection Method for Remote Sensing Image Based on Multi-feature Differencing Kernel Svm

Based on the support vector machine (SVM) tools and multiple kernel method, the combinations of kernel functions were mainly discussed. The construction method of image differencing kernel with multi-feature (spectral feature and textural feature) has been developed. Through this method and weighting of the categories’ samples, the improved SVM change detection model has been proposed, which co...

متن کامل

Template Matching based Object Detection Using HOG Feature Pyramid

The Object detection based on histogram of oriented gradients was introduced in the context of detecting humans in images [1]. Detecting human subject in the image is a difficult task due to the fact that they appear in different appearance and poses. Thus the need to come up with a feature that allows human dorm to be detected cleanly even in cluttered background under different illumination. ...

متن کامل

Overlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery

Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...

متن کامل

Object-based Image Fusion Method Based on Wavelet and Pca for Remote Sensing Imagery

In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral information. The basic idea is to build a segmented label image by statistical region merging and minimum heterogeneity rule (SRMMHR) segmentation method to guide the object-based image fusion (OBIF). Ther...

متن کامل

Object Based Image Analysis: a New Paradigm in Remote Sensing?

The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA or OBIA in short – has been and still is sharply increasing. The term OBIA is herein used for generic image processing tasks. OBIA researchers with backgrounds in geology, geography or mineralogy are joining forces with colleagues from cell biology, molecular biology, medicine, pharmacy or nanotechnology. M...

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: Journal of remote sensing

سال: 2023

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20235011