ShipSRDet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation

03/17/2021
by   Shitian He, et al.
0

High-resolution remote sensing images can provide abundant appearance information for ship detection. Although several existing methods use image super-resolution (SR) approaches to improve the detection performance, they consider image SR and ship detection as two separate processes and overlook the internal coherence between these two correlated tasks. In this paper, we explore the potential benefits introduced by image SR to ship detection, and propose an end-to-end network named ShipSRDet. In our method, we not only feed the super-resolved images to the detector but also integrate the intermediate features of the SR network with those of the detection network. In this way, the informative feature representation extracted by the SR network can be fully used for ship detection. Experimental results on the HRSC dataset validate the effectiveness of our method. Our ShipSRDet can recover the missing details from the input image and achieves promising ship detection performance.

READ FULL TEXT

page 1

page 2

page 4

research
12/13/2018

Wider Channel Attention Network for Remote Sensing Image Super-resolution

Recently, deep convolutional neural networks (CNNs) have obtained promis...
research
10/14/2022

Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy

Deep learning-based algorithms have greatly improved the performance of ...
research
08/31/2022

Injecting Image Details into CLIP's Feature Space

Although CLIP-like Visual Language Models provide a functional joint fea...
research
09/27/2022

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

In this paper, we propose an accurate yet fast small object detection me...
research
03/10/2021

Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images

Modern deep Super-Resolution (SR) networks have established themselves a...
research
07/05/2021

Super Resolution in Human Pose Estimation: Pixelated Poses to a Resolution Result?

The results obtained from state of the art human pose estimation (HPE) m...
research
06/04/2021

Efficient Classification of Very Large Images with Tiny Objects

An increasing number of applications in the computer vision domain, spec...

Please sign up or login with your details

Forgot password? Click here to reset