改進的嵌入小波算法在遙感圖像壓縮中的應(yīng)用

多光譜遙感圖像具有大數(shù)據(jù)量和高數(shù)據(jù)維的特點，如此海量的數(shù)據(jù)需要巨大的存貯空間。在研究嵌入式零樹小波編碼(Embedded Zerotree Wavelet —EZW編碼)的基礎(chǔ)上，利用小波子帶峰值的概念，通過對小波邊緣子帶進行有效處理，建立了改進的嵌入式零樹小波編碼（Renewed Embedded Zerotree Wavelet — REZW編碼）快速算法。采用改進的EZW編碼算法，對遙感圖像進行了壓縮，獲得了具有較高壓縮比和較好視覺效果的重建圖象，證明了REZW算法的可行性和有效性。
關(guān)鍵詞：遙感圖像，零樹小波編碼，REZW 算法，圖象重建

Abstract：data of multi-spectral remote sensing images are magnanimity and high dimension，so magnanimous data need tremendous storage space. Based on Embedded Zerotree Wavelet (EZW coding), by concept of wavelet segment peak value and processing wavelet segment of edge in effect, a rapid algorithm of Renewed Embedded Zerotree Wavelet (REZW coding) had been built. By Renewed EZW rapid algorithm，multi-spectral remote sensing image had been compressed，and its compressed ratio is higher and visual effect of rebuilt image is preferable. REZW rapid algorithm is feasible and effective.
Keywords：Remote Sensing Image， Zerotree Wavelet code，REZW algorithm，
reconstructing image