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• 地理科学与资源研究所 [5]
• 长春光学精密机械与物... [3]
• 自动化研究所 [2]
• 遥感与数字地球研究所 [1]

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• OAI收割 [11]

内容类型

• 会议论文 [4]
• 期刊论文 [4]
• SCI/SSCI论文 [3]

发表日期

• 2022 [1]
• 2020 [2]
• 2016 [3]
• 2015 [1]
• 2012 [1]
• 2009 [1]
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浏览/检索结果: 共11条，第1-10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 A Novel Adaptively Binarizing Magnitude Vector Method in Local Binary Pattern Based Framework for Texture Classification 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2022, 卷号: 29, 页码: 852-856 作者:  Hu, Shiqi;  Pan, Zhibin;  Dong, Jing;  Ren, Xincheng   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/06/10 Local binary pattern (LBP)  adaptively binarizing magnitude vector (ABMV)  threshold  average vector threshold  texture classification   An Automated Method for Surface Ice/Snow Mapping Based on Objects and Pixels from Landsat Imagery in a Mountainous Region 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 19 作者:  Wang, Xuecheng;  Gao, Xing;  Zhang, Xiaoyan;  Wang, Wei;  Yang, Fei   |  收藏  |  浏览/下载：18/0  |  提交时间：2020/05/19 ice  snow  Landsat  watershed algorithm  image segmentation  classification threshold   An Automated Method for Surface Ice/Snow Mapping Based on Objects and Pixels from Landsat Imagery in a Mountainous Region 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 19 作者:  Wang, Xuecheng;  Gao, Xing;  Zhang, Xiaoyan;  Wang, Wei;  Yang, Fei   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/05/19 ice  snow  Landsat  watershed algorithm  image segmentation  classification threshold   Establishing a rainfall threshold for flash flood warnings in China's mountainous areas based on a distributed hydrological model SCI/SSCI论文  OAI收割 2016 作者:  Miao Q. H.;  Yang, D. W.;  Yang, H. B.;  Li, Z.   |  收藏  |  浏览/下载：213/0  |  提交时间：2017/11/09 Flash flood warning  Distributed hydrological model  Ungauged  catchments  Rainfall threshold  Binary classification  ungauged locations  forecast system  united-states  part ii  soil  guidance  river  precipitation  parameters  basins   A simple method to extract tropical monsoon forests using NDVI based on MODIS data: A case study in South Asia and Peninsula Southeast Asia SCI/SSCI论文  OAI收割 2016 作者:  Lin S.;  Liu, R. G.   |  收藏  |  浏览/下载：21/0  |  提交时间：2017/11/09 monsoon forest  Moderate Resolution Imaging Spectroradiometer (MODIS)  Normalized Difference Vegetation Index (NDVI) amplitude  threshold  classification  land-cover classification  seasonal forests  carbon balance  dry  forests  index  agreement  dynamics  thailand  regions  images   Assessing methods of identifying open water bodies using Landsat 8 OLI imagery SCI/SSCI论文  OAI收割 2016 作者:  Liu Z. F.;  Yao, Z. J.;  Wang, R.   |  收藏  |  浏览/下载：22/0  |  提交时间：2017/11/09 Remote sensing imagery  Normalized difference water index (NDWI)  Water  body extraction  Optimized threshold  Tibetan plateau  Spectral  reflectance  remotely-sensed imagery  thematic mapper  neural-network  time-series  index ndwi  tm data  classification  lake  delineation  features   Ray feature analysis for volume rendering 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 卷号: 74, 期号: 18, 页码: 7621-7641 作者:  Yang, Fei;  Yang, Feng;  Li, Xiuli;  Tian, Jie 收藏  |  浏览/下载：25/0  |  提交时间：2015/10/13 Direct volume rendering  Classification  Ray feature analysis  Localized transfer function  Threshold based state transition   An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者:  Yu P.;  Yu P. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   Self-adaptive threshold canny operator in color image edge detection (EI CONFERENCE) 会议论文  OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Luo T.; Zheng X.-F.; Ding T.-F. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 It needs to set the two thresholds of classical Canny Operator manually  which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram  which is studied constantly in the past  a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds  and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background. 2009 IEEE.   Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文  OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏  |  浏览/下载：32/0  |  提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval  this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly  a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result  the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92  comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.