Nov 7, 2022 · In this paper, we propose a proxy-based deep metric learning method and an adaptive multi-proxy framework.
Second, we propose an adaptive proxy assignment method to assign multiple proxies according to the cluster of samples within a class, and to determine weights ...
Abstract: With the development of remote sensing technology, content-based remote sensing image retrieval has become a research hotspot.
In this paper, we propose a proxy-based deep metric learning method and an adaptive multi-proxy framework. First, we propose an intra-cluster sample synthesis ...
Our method significantly outperforms existing sketch-based remote-sensing image retrieval techniques, as evidenced by tests on multiple datasets. Notably, it ...
Adaptive Multi-Proxy for Remote Sensing Image Retrieval. Remote Sensing. 2022; 14(21):5615. https://doi.org/10.3390/rs14215615. Chicago/Turabian Style. Li ...
Sep 1, 2023 · Remote sensing images are acquired using special platforms, sensors and are classified as aerial, multispectral and hyperspectral images.
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This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
Abstract—Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest from a large remote sensing.
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