May 30, 2020 · This paper therefore proposes a novel remote sensing image object detection approach applying a fusion-based feature reinforcement component (FB-FRC)
This paper therefore proposes a novel remote sensing image object detection approach applying a fusion-based feature reinforcement component (FB-FRC) to improve ...
Fusion based feature reinforcement component for remote sensing image object detection. Language: English; Authors: Zhu, Dongjun1,2 (AUTHOR) Xia, Shixiong1,2 ...
A novel remote sensing image object detection approach applying a fusion-based feature reinforcement component (FB-FRC) to improve the discrimination ...
Dec 1, 2020 · This paper therefore proposes a novel remote sensing image object detection approach applying a fusion-based feature reinforcement component (FB ...
May 1, 2024 · In this paper, we propose a remote sensing scene understanding system to extract information from the image in terms of detection and ...
This paper focuses on a single map and proposes an encoder called SFMF which can employ multi-scale feature fusion on a map.
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What is image fusion for remote sensing applications?
What is remote sensing data fusion?
The adaptive feature-aware module is used to perform adaptive cross-scale depth fusion of different-scale feature maps to improve the learning ability of the ...
Dec 30, 2024 · The objective of detection in remote sensing images is to determine the location and category of all targets in these images.
In this paper, we propose a lightweight convolutional neural network based on attention-oriented multi-branch feature fusion (AMB-CNN) for remote sensing image ...