{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:00:27Z","timestamp":1760241627213,"version":"build-2065373602"},"reference-count":50,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T00:00:00Z","timestamp":1529625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41701479","61675051"],"award-info":[{"award-number":["41701479","61675051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M621246"],"award-info":[{"award-number":["2017M621246"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Science Foundation of Heilongjiang Province of China","award":["LBH-Z17052"],"award-info":[{"award-number":["LBH-Z17052"]}]},{"name":"Project plan of Science Foundation of Heilongjiang Province of China","award":["QC2018045"],"award-info":[{"award-number":["QC2018045"]}]},{"name":"Fundamental Research Funds in Heilongjiang Provincial Universities of China","award":["135109250"],"award-info":[{"award-number":["135109250"]}]},{"name":"Science and Technology Plan Project of Qiqihar of China","award":["GYGG-201415"],"award-info":[{"award-number":["GYGG-201415"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Due to the limitations of storage and transmission in remote sensing scenarios, lossy compression techniques have been commonly considered for remote sensing images. Inspired by the latest development in image coding techniques, we present in this paper a new compression framework, which combines the directional adaptive lifting partitioned block transform (DAL-PBT) with content-driven quadtree codec with optimized truncation (CQOT). First, the DAL-PBT model is designed; it calculates the optimal prediction directions of each image block and performs the weighted directional adaptive interpolation during the process of directional lifting. Secondly, the CQOT method is proposed, which provides different scanning orders among and within blocks based on image content, and encodes those blocks with a quadtree codec with optimized truncation. The two phases are closely related: the former is devoted to image representation for preserving more directional information of remote sensing images, and the latter leverages adaptive scanning on the transformed image blocks to further improve coding efficiency. The proposed method supports various progressive transmission modes. Experimental results show that the proposed method outperforms not only the mainstream compression methods, such as JPEG2000 and CCSDS, but also, in terms of some evaluation indexes, some state-of-the-art compression methods presented recently.<\/jats:p>","DOI":"10.3390\/rs10070999","type":"journal-article","created":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T10:56:28Z","timestamp":1529664988000},"page":"999","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Remote Sensing Image Compression Based on Direction Lifting-Based Block Transform with Content-Driven Quadtree Coding Adaptively"],"prefix":"10.3390","volume":"10","author":[{"given":"Cuiping","family":"Shi","sequence":"first","affiliation":[{"name":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"},{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liguo","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junping","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronic and Communication Engineering, Harbin Institute of Technology, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4489-2322","authenticated-orcid":false,"given":"Fengjuan","family":"Miao","sequence":"additional","affiliation":[{"name":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"He","sequence":"additional","affiliation":[{"name":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,22]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Zhang, L., Lv, X., and Liang, X. 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