中国科学院机构知识库网格系统: 检索

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	Potential mineral resources in the planets and preliminary discussion on planetary resource geology 期刊论文 OAI收割 ACTA PETROLOGICA SINICA, 2021, 卷号: 37, 期号: 8, 页码: 2276-2286 作者: Qin KeZhang; Zou XinYu \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2022/07/05 Mineral resources in Moon and Mars Planetary Resource Geology Lunar mantle plume and impact-related Cu-Ni-Co-PGE-V-Ti-Fe-Cr mineralization KREEP host REE and real metal deposit Regularities of distribution Development and utilization
	Heavy metals pollution and health risk assessment in farmed scallops: Low level of Cd in coastal water could lead to high risk of seafood 期刊论文 OAI收割 ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2021, 卷号: 208, 页码: 10 作者: Lin, Yichen; Lu, Jian; Wu, Jun \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2021/06/07 Hyperaccumulator Scallop Heavy metals Distribution regularities Health risks
	陕北黄土丘陵成年枣树根系空间分布规律研究期刊论文 OAI收割中国农村水利水电, 2012, 期号: 10, 页码: 4-8,12 卢俊寰; 汪有科; 梁宇; 蔺君; 肖森; 刘守阳收藏 \| 浏览/下载：52/0 \| 提交时间：2014/07/10 黄土丘陵ｏｅｓｓ　ｈｉｌｌｙ梨枣ｊｕｊｕｂｅ根系ｒｏｏｔ　ｓｙｓｔｅｍ分布规律ｒｅｇｕｌａｒｉｔｉｅｓ　ｏｆ　ｄｉｓｔｒｉｂｕｔｉｏｎ
	Study of removing striping noise in CCD image (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 Striping noise is the common system noise during formation of image using linear array CCD and has the character of periodicity directivity and banding distributing. It can be caused by errors in internal calibration devices or by slight gain/offset differences among the elements that conform the array of detectors. Striping noise covers up useful information in CCD image and brings adverse effect to image interpretation. On the basis of analyzing wavelet decomposed coefficient the regularities of distribution about striping noise in wavelet coefficient is found thereby the method of wavelet threshold selection which is suitable to striping noise distribution is put forward. According to Donoho's method about denoising using wavelet the image including striping noise is processed. Comparing the power spectrum of processed image with the one of original image polluted by striping noise in frequency field we find pulse brought by striping noise is removed and the goal which reserves image details and reduces stripes is achieved.