A Fine-Grained Authentication Model Based on Perceptual Hashing and Grid Descriptor for Remote Sensing Image

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 288)


In this paper, a fine-grained authentication model for remote sensing image based on perceptual hashing and grid descriptor is proposed. Most perceptual hashing algorithms generate the hash value from an image’s global features, while remote sensing images are generally of huge amount and large size, so they are not suitable for remote sensing images authentication applications with high security demand. In this work, we apply grid descriptor to divide a remote sensing image, then generate the perceptual hash value of each region, and organize these hash values by embedding them into the corresponding region with watermarking technique. The grid descriptor is applied to detect and represent the tamper of the image. Compared with other authentication algorithms, the model can authentically remote sense image with different granularity.


Authentication Remote sensing image Perceptual hashing Grid descriptor 



This research is supported by the National Natural Science Foundation of China, No. 41071245; Research and Innovation Project for Graduates of Jiangsu Higher Education Institutions (CXLX13_378).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Key Laboratory of Virtual Geographic Environment of Ministry of EducationNanjing Normal UniversityNanjingPeople’s Republic of China

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