Detection of Moving Ships in Sequences of Remote Sensing Images

Shun Yao,Yufeng Cheng,Shuying Jin,Deshan Zuo,Xueli Chang

doi:10.3390/ijgi6110334

Abstract

High-speed agile remote sensing satellites have the ability to capture multiple sequences of images. However, the frame rate is lower and the baseline between each image is much longer than normal image sequences. As a result, the edges and shadows in each image in the sequence vary considerably. Therefore, more requirements are placed on the target detection algorithm. Aiming at the characteristics of multi-view image sequences, we propose an approach to detect moving ships on the water surface. Based on marker controlled watershed segmentation, we use the extracted foreground and background images to segment moving ships, and we obtain the complete shape and texture information of the ships. The inter-frame difference algorithm is applied to extract the foreground object information, while Otsu’s algorithm is used to extract the image background. The foreground and background information is fused to solve the problem of interference with object detection caused by long imaging baseline. The experimental results show that the proposed method is effective for moving ship detection.

Highlights

With the development of economic globalization, sea safety and economic conflicts between countries on the seas are becoming more and more prominent
The target detection algorithm we proposed in this paper can effectively detect moving
The target detection algorithm we proposed in this paper can effectively detect moving ship targets in multi-view image sequences, and the accuracy of this detection is high

Summary

Introduction

With the development of economic globalization, sea safety and economic conflicts between countries on the seas are becoming more and more prominent. Through highly mobile remote sensing satellites, continuous observations can be carried out over a certain area within a certain range. They can provide real-time, fast and accurate access to dynamic marine information, providing for timely and effective decisions, as well as the rapid settlement of marine emergencies. Using multi-image data, we can observe and track ships as targets, to obtain their orientation, speed and other dynamic information. This provides the basis for decision-making and guidance, and reflects an important aspect of remote sensing satellite applications [1]

Methods

Results

Conclusion