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	HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection 期刊论文 OAI收割 COMPUTERS & SECURITY, 2023, 卷号: 125, 页码: 14 作者: Wang, Qing; Dong, Cong; Jian, Shijie; Du, Dan; Lu, Zhigang \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2023/07/12 Malware domain detection Spatial -Temporal contextual correlation Heterogeneous attention network Statistical -and -Structural information
	Automatic Crater Detection by Training Random Forest Classifiers with Legacy Crater Map and Spatial Structural Information Derived from Digital Terrain Analysis 期刊论文 OAI收割 ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2021, 页码: 22 作者: Wang, Yan-Wen; Qin, Cheng-Zhi; Cheng, Wei-Ming; Zhu, A-Xing; Wang, Yu-Jing \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/09/21 crater detection digital terrain analysis legacy map random forest spatial structural information
	Automatic Crater Detection by Training Random Forest Classifiers with Legacy Crater Map and Spatial Structural Information Derived from Digital Terrain Analysis 期刊论文 OAI收割 ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2021, 页码: 22 作者: Wang, Yan-Wen; Qin, Cheng-Zhi; Cheng, Wei-Ming; Zhu, A-Xing; Wang, Yu-Jing \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/09/21 crater detection digital terrain analysis legacy map random forest spatial structural information
	Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文 OAI收割 Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states Ren R.; Gu L.; Cao J.; Chen H.; Sun J. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 In most applications of remote sensing data special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China the MODIS data located in the study area was classified into the five land cover types including water grasslands forests farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.
	The spatial technology application research on the tracing souce project of Chinese civilization 会议论文 OAI收割 33rd Asian Conference on Remote Sensing 2012, ACRS 2012,, Pattaya, Thailand, November 26, 2012 - November 30,2012 Nie, Yuepinga; Yang, Lin; Yu, Lijun; Yao, Yueyin; Gao, Huaguang; Liu, Fang 收藏 \| 浏览/下载：29/0 \| 提交时间：2014/12/07 Research Atmospheric temperature Geographic information systems Remote sensing Spatial distribution Urban planning Walls (structural partitions)
	Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE) 会议论文 OAI收割 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China 作者: Zhang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation it can be applied in many conditions based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE. not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy some types of texture can also be segmented well