Abstract

Remote Sensing data, as an essential urban basic information in urban planning, has the characteristics of large information capacity, real time, high update speed and accuracy. Because of urban spatial information involving multi-faceted public and public interests, its data security is very important. The use of digital watermarking technology can effectively protect the secu-rity of urban planning basic data. In practical applications, the “screen capture” poses a great threat to the security of remote sensing image. In order to resist the screen capture attacks, the QR code watermark information is encoded and converted, and combined with a circular angle template watermark, a digital watermarking algorithm for remote sensing images in urban planning information management is proposed. And the proposed algorithm is experimentally verified. Experiments show that the algorithm is robust against screen capture attacks, and provide security guarantee for urban construction and management.

Highlights

  • Remote Sensing data, one of the sources of geospatial information, has the characteristics of large information capacity, real time, high update speed and accuracy

  • Remote sensing image is widely used in urban planning, mapping drawing, land use dynamic assessment and environmental monitoring

  • Under the premise that the experimental data and watermark information are known, the number of remote sensing image blocks is set to 10 × 10, and the watermark embedding intensity is set to 12

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Summary

Introduction

Remote Sensing data, one of the sources of geospatial information, has the characteristics of large information capacity, real time, high update speed and accuracy. It plays an important basic and strategic position in national geographic information resources [1]. Remote sensing image is widely used in urban planning, mapping drawing, land use dynamic assessment and environmental monitoring. Obtaining multi-sequence image data at different time periods can visually describe the process of urban spatial expansion and urban land use change [3]. It is extremely urgent to protect the security of remote sensing images

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