Intelligent Satin Bowerbird Optimizer Based Compression Technique for Remote Sensing Images  

作　　者：M.Saravanan J.Jayanthi U.Sakthi R.Rajkumar Gyanendra Prasad Joshi L.Minh Dang Hyeonjoon Moon 

机构地区：[1]Department of Networking and Communications,School of Computing,SRM Institute of Science and Technology,Kattankulathur,603203,India [2]Department of Computer Science and Engineering,Sona College of Technology,Salem,636005,India [3]Department of Computer Science and Engineering,Saveetha School of Engineering,SIMATS,Chennai,602105,India [4]Department of Electronics and Instrumentation Engineering,Kongu Engineering College,Perundurai,638060,India [5]Department of Computer Science and Engineering,Sejong University,Seoul,05006,Korea

出　　处：《Computers, Materials & Continua》2022年第8期2683-2696,共14页计算机、材料和连续体（英文）

基　　金：This work was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2020R1A6A1A03038540);National Research Foundation of Korea(NRF)grant funded by the Korea government,Ministry of Science and ICT(MSIT)(2021R1F1A1046339).

摘　　要：Due to latest advancements in the field of remote sensing,it becomes easier to acquire high quality images by the use of various satellites along with the sensing components.But the massive quantity of data poses a challenging issue to store and effectively transmit the remote sensing images.Therefore,image compression techniques can be utilized to process remote sensing images.In this aspect,vector quantization(VQ)can be employed for image compression and the widely applied VQ approach is Linde–Buzo–Gray(LBG)which creates a local optimum codebook for image construction.The process of constructing the codebook can be treated as the optimization issue and the metaheuristic algorithms can be utilized for resolving it.With this motivation,this article presents an intelligent satin bowerbird optimizer based compression technique(ISBO-CT)for remote sensing images.The goal of the ISBO-CT technique is to proficiently compress the remote sensing images by the effective design of codebook.Besides,the ISBO-CT technique makes use of satin bowerbird optimizer(SBO)with LBG approach is employed.The design of SBO algorithm for remote sensing image compression depicts the novelty of the work.To showcase the enhanced efficiency of ISBO-CT approach,an extensive range of simulations were applied and the outcomes reported the optimum performance of ISBO-CT technique related to the recent state of art image compression approaches.

关 键 词：Remote sensing images image compression vector quantization sand bowerbird optimizer metaheuristics space savings 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]