机构

• 地理科学与资源研究所 [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2020 [1]
• 2012 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 基于稀疏样点的蒙古国产草量估算方法研究 期刊论文  OAI收割 地球信息科学学报, 2020, 卷号: 22, 期号: 9, 页码: 1814 作者:  王艳杰;  王卷乐;  魏海硕;  Altansukh Ochir;  Davaadorj Davaasuren   |  收藏  |  浏览/下载：32/0  |  提交时间：2021/03/16 sparse samples  grassland production  interpolation  P-BSHADE method  remote sensing inversion  vegetation indices  China-Mongolia railway  稀疏样点  产草量  插值  P-BSHADE法  遥感反演  植被指数  中蒙铁路   Image coding using wavelet-based compressive sampling (EI CONFERENCE) 会议论文  OAI收割 2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China 作者:  Li J.;  Li J.;  Li J. 收藏  |  浏览/下载：43/0  |  提交时间：2013/03/25 In this paper  we proposed a novel coding scheme is proposed using wavelet-based CS framework for nature image. First  two-dimension discrete wavelet transform (DWT) is applied to a nature image for sparse representation. After multi-scale DWT  the low-frequency sub-band and high-frequency sub-bands are re-sampled separately. According to the statistical dependences among DWT coefficients  we allocate different measurements to low- and high-frequency component. Then  the measurements samples can be quantized. The quantize samples are entropy coded and forward correct coding (FEC). Finally  the compressed streams are transmitted. At the decoder  one can simply reconstruct the image via l1 minimization. Experimental results show that the proposed wavelet-based CS scheme achieves better compression performance against the relevant existing solutions.