An Adaptive Grid Partition Based Perceptual Hash Algorithm for Remote Sensing Image Authentication

In the light of the big data characteristics of remote sensing images,aperceptual Hashing al-gorithm based on adaptive grid division for remote sensing image authentication is proposed.Thismethod,based on adaptive strategy,can authenticate information intensive regions at a fine-grainedlevel.First,the bands of the remote sensing image are fused.The fusion image is adaptively dividedinto grid units based on information entropy.Then the local features of each grid unit are extracted togenerate perceptual Hash value.Authentication verifies the content integrity of the remote sensingimage through the received Hash value.Experiments show that the algorithm can detect malicioustampering of remote sensing images,while tolerating legitimate content distortion,thus achievingcontent integrity authentication for remote sensing image.