机构

• 地理科学与资源研究所 [1]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 成都生物研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2016 [2]
• 2011 [1]

学科主题

• Agricultur... [1]
• Forestry [1]
• Meteorolog... [1]

筛选

浏览/检索结果: 共4条，第1-4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 The Multiple Perspective Response of Vegetation to Drought on the Qinghai-Tibetan Plateau 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 4, 页码: 902 作者:  Zhu, Yuying;  Zhang, Huamin;  Ding, Mingjun;  Li, Lanhui;  Zhang, Yili   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/01/04 drought  response  resistance and resilience  vegetation  Qinghai-Tibetan Plateau   Biotic and abiotic controls in determining exceedingly variable responses of ecosystem functions to extreme seasonal precipitation in a mesophytic alpine grassland 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2016, 卷号: 228, 页码: 180-190 作者:  Sun, Geng;  Wang, Zhiyuan;  Zhu-Barker, Xia;  Zhang, Nannan;  Wu, Ning 收藏  |  浏览/下载：251/0  |  提交时间：2016/10/24 Extreme precipitation  Seasonality  Biomass accumulation and allocation  Resistance arid resilience  Nutrient cycling  Mesophytic alpine grassland   Biotic and abiotic controls in determining exceedingly variable responses of ecosystem functions to extreme seasonal precipitation in a mesophytic alpine grassland 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2016, 卷号: 228, 页码: 180-190 作者:  Sun, G;  Wang, ZY;  Zhu-Barker, X;  Zhang, NN;  Wu, N   |  收藏  |  浏览/下载：118/0  |  提交时间：2017/11/09 Extreme Precipitation  Seasonality  Biomass Accumulation And Allocation  Resistance And Resilience  Nutrient Cycling  Mesophytic Alpine Grasslanda   Image compression algorithm of high-speed SPIHT for aerial applications (EI CONFERENCE) 会议论文  OAI收割 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China 作者:  Zhang K.;  Zhang K.;  Zhang K.;  Zhang K. 收藏  |  浏览/下载：39/0  |  提交时间：2013/03/25 SPIHT and NLS (Not List SPIHT) are efficient compression algorithms  but the algorithms application is limited by the shortcomings of the poor error resistance and slow compression speed in the aviation and other areas requiring high-speed compression. In this paper  the error resilience and the compression speed are improved. The remote sensing images are decomposed by Le Gall5/3 wavelet  and wavelet coefficients are indexed  scanned and allocated by the means of family blocks. The bit-plane importance is predicted by bitwise OR  so the N bit-planes can be encoded at the same time. Compared with the SPIHT algorithm  this modified algorithm is easy implemented by hardware  and the compression speed is improved. The PSNR of reconstructed images encoded by high-speed SPIHT is slightly lower than SPIHT at rate 1bpp  but the speed is 4.5-6 times faster than SPIHT encoding process. The algorithm meets the high speed and reliability requirements of aerial applications. 2011 IEEE.