中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [5]
长春光学精密机械与物... [2]
昆明植物研究所 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [9]
内容类型
期刊论文 [7]
会议论文 [2]
发表日期
2021 [4]
2018 [2]
2016 [1]
2012 [1]
2006 [1]
学科主题
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Comprehensive evaluation of precipitation datasets over Iran
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 23
作者:
Saemian, Peyman
;
Hosseini-Moghari, Seyed-Mohammad
;
Fatehi, Iman
;
Shoarinezhad, Vahid
;
Modiri, Ehsan
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/09/21
Gauge-based products
Reanalysis products
Satellite observations
Statistical evaluation
Point-to-pixel approach
Pixel-to-pixel approach
Comprehensive evaluation of precipitation datasets over Iran
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 23
作者:
Saemian, Peyman
;
Hosseini-Moghari, Seyed-Mohammad
;
Fatehi, Iman
;
Shoarinezhad, Vahid
;
Modiri, Ehsan
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/09/21
Gauge-based products
Reanalysis products
Satellite observations
Statistical evaluation
Point-to-pixel approach
Pixel-to-pixel approach
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22
作者:
Yang, Zhiqi
;
Dong, Jinwei
;
Kou, Weili
;
Qin, Yuanwei
;
Xiao, Xiangming
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/08/19
Random Forest
integrated pixel- and object-based (IPOB) approach
feature selection
segmentation
Panax notoginseng
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22
作者:
Yang, Zhiqi
;
Dong, Jinwei
;
Kou, Weili
;
Qin, Yuanwei
;
Xiao, Xiangming
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/08/19
Random Forest
integrated pixel- and object-based (IPOB) approach
feature selection
segmentation
Panax notoginseng
Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 1, 页码: 20
作者:
Zhai, Deli
;
Dong, Jinwei
;
Cadisch, Georg
;
Wang, Mingcheng
;
Kou, Weili
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/05/30
rubber (Hevea brasiliensis) plantation
phenology
Xishuangbanna
Landsat
object-based approach
pixel-based approach
J0101
Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 1, 页码: 44
作者:
Zhai, Deli
;
Dong, Jinwei
;
Cadisch, Georg
;
Wang, Mingcheng
;
Kou, Weili
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2018/04/28
Rubber (Hevea Brasiliensis) Plantation
Phenology
Xishuangbanna
Landsat
Object-based Approach
Pixel-based Approach
J0101
Automatic chessboard corner detection method
期刊论文
OAI收割
IET IMAGE PROCESSING, 2016, 卷号: 10, 期号: 1, 页码: 16-23
作者:
Liu, Yu
;
Liu, Shuping
;
Cao, Yang
;
Wang, Zengfu
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2018/01/25
Cameras
Calibration
Edge Detection
Statistical Analysis
Automatic Chessboard Corner Detection Method
Chessboard Pattern-based Camera Calibration Technique
Hessian Corner Detector
Fake Corner Elimination
Sub-pixel Location
Statistical Approach
Computational Efficiency
Image matching using a bat algorithm with mutation (EI CONFERENCE)
会议论文
OAI收割
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
作者:
Zhang J.
;
Wang G.
;
Zhang J.
;
Zhang J.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2013/03/25
Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space
a new bat algorithm with mutation (BAM) is proposed to solve image matching problem
and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method
BAM is compared with BA and other population-based optimization methods
DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications
Switzerland.
Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Wang X.
;
Yang H.-J.
;
Sui Y.-X.
;
Yan F.
;
Yan F.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality
symmetry
compact support
and vanishing moment
which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper
a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera
where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First
a decomposition step is taken with the DMWT. After the decomposition step
a pyramid for each source image in each level can be obtained. Then
an optimized coefficient fusion rule consisting of activity level measurement
coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally
a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.