中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
西安光学精密机械研究... [3]
地理科学与资源研究所 [2]
长春光学精密机械与物... [2]
成都山地灾害与环境研... [1]
新疆生态与地理研究所 [1]
遥感与数字地球研究所 [1]
更多
采集方式
OAI收割 [10]
内容类型
会议论文 [5]
期刊论文 [3]
SCI/SSCI论文 [2]
发表日期
2020 [1]
2019 [1]
2011 [1]
2010 [1]
2009 [1]
2008 [3]
更多
学科主题
筛选
浏览/检索结果:
共10条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
作者升序
作者降序
Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 21, 页码: 3501
作者:
Xu, Qingsong
;
Yuan, Xin
;
Ouyang, Chaojun
;
Zeng, Yue
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/12/10
high-resolution and hyperspectral images
spatial object distribution diversity
spectral information extraction
attention-based pyramid network
heavy-weight spatial feature fusion pyramid network (FFPNet)
spatial-spectral FFPNet
Open-category classification of hyperspectral images based on convolutional neural networks
会议论文
OAI收割
Sanya, China, 2019-10-22
作者:
Huang, Tingting
;
Wang, Shuang
;
Zhang, Geng
;
Wang, Xueji
;
Liu, Song
  |  
收藏
  |  
浏览/下载:122/0
  |  
提交时间:2019/11/27
hyperspectral image
open-category classification
spectral-spatial information
convolutional network
Study on spectrograph for ionosphere: A broadband imaging instrument prototype for far-ultraviolet (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
作者:
Wang S.-R.
;
Lin G.-Y.
;
Yu L.
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2013/03/25
Current research on space-based exploration for the ionosphere needs more advanced technologies. Because the spectral signals in the ionosphere distributing basically in the far-ultraviolet waveband are very weak. Usual spectrometer structures and detectors such as CCD can't receive enough information. Based on this principle of atmospheric sounding
the imaging spectrometer prototype for ionosphere detection application was designed to solve the problem. This prototype consists of the telescope and the imaging spectrometer. The simple structure and small number of mirrors can help higher transmission efficiency be achieved and weak signals detection be implemented. The telescope is an off-axis parabolic mirror and the spectrometer is a modified Czerny-Turner spectral imaging system. Modified Czerny-Turner spectrometer contains a spherical mirror
a fixed plane grating and a toroidal mirror. By adjusting the incident angle to the collimating mirror and using toroidal mirror
coma and astigmatism were corrected well. We also optimize distances between the grating to the focusing mirror and the focusing mirror to the image plane to improve disadvantages of traditional Czerny-Turner structure. Designed results demonstrate that aberrations are substantially corrected
and high image quality can be obtained in broad waveband. The photon counting Wedge-Strip-Anode detector with micro-channel planes as the receiving plane is accepted for the instrument prototype. The other photon counting 2-D detector responding well for weak light such as Cross-Delay line detector and MAMA detector can also be used for detection. The calibration and performances testing system is made of a vacuum system
a deuterium lamp
a monochrometer and the instrument prototype. Results obtained from the experiment show that the spectral resolution is 2.4 nm and the spatial resolution is 80 m. The other calibration experiments are running. The technology of the spectrometer prototype is important for the research and applications of ionosphere remote sensing. 2011 SPIE.
High-precise water extraction based on spectral-spatial coupled remote sensing information
会议论文
OAI收割
2010 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 2010
Luo
;
Jiancheng1
;
Sheng
;
Yongwei2
;
Shen
;
Zhanfeng1
;
Li
;
Junli3
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2011/08/23
Geology - Information analysis - Remote sensing - Hierarchical knowledge - High-precise - Information Extraction - Iterative transformation - Local scale - Object oriented - Remote sensing applications - Remote sensing information - Remotely sensed images - Research fields - Spatial scale - Spectral angles - Spectral libraries - Step-by-step - Water bodies - Water extraction - Water index
Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China
Li X.
;
Yan C.
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2013/03/25
Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI
then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement
which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels
radiometric and spectral calibration were presented. After processing
the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper
the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets
the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft
thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE.
including decoding to extract science data
separating the science data into files corresponding to different tasks (e.g. ground imaging
dark imaging
and onboard calibration)
checking data integrity and instrument settings
data format conversion
and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly
it corrects the image artifacts (mostly the SWIR smear effect)
subtracts the dark background
and performs the bad pixel replacement according to the prelaunch measurement
New classification method for remotely sensed imagery via multiple-point simulation: experiment and assessment
SCI/SSCI论文
OAI收割
2008
作者:
Ge Y.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2012/06/08
classification
spatial information
spectral information
multiple-point simulation
accuracy
Solution of multiple-point statistics to extracting information from remotely sensed imagery
SCI/SSCI论文
OAI收割
2008
作者:
Ge Y.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2012/06/08
information extraction
spectral information
spatial information
multiple-point statistics
Improved best tradeoff for high-resolution image fusion based on spectral reflection function
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
Wang, Zhongwu
;
Zhao, Zhongming
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2014/12/07
This paper extended the best tradeoff fast intensity-hue-saturation (BTFIHS) fusion to a more general model. Firstly
based-on the methods proposed by previous researches
we integrated injecting strategy of spatial detail information into the fusion model and also adopted the idea of BTFIHS to keep the intensity unchanged with the corresponding pixel in panchromatic (PAN) image
while the hue and saturation of every pixel using BTFIHS were equal to them using tradeoff fast intensity-hue-saturation (TFIHS). Then we got a general formula of the improved best tradeoff for high-resolution image fusion based-on getting injecting parameter by spectral reflection function (SRF). At last
several experiments were carried on to analysis and discuss the quality of the new methods compared with their originals. Results show that the new method could yield a "true" high-resolution multispectral (MS) image
with vast improvement in blue band and nearly 3.3% improvement in Q4 for all bands. 2008 SPIE.
A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
作者:
Dong, Le
;
Lu, Xiaoqiang
;
Liu, Ganchao
;
Yuan, Yuan
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/01/18
Image reconstruction
Hyperspectral imaging
Noise measurement
Gaussian noise
Interference
Stability analysis
Sensors
Hyperspectral unmixing (HU)
image reconstruction
nonnegative matrix factorization (NMF)
spatial-spectral information
Multispectral Image Quality Improvement Based on Global Iterative Fusion Constrained by Meteorological Factors
期刊论文
OAI收割
COGNITIVE COMPUTATION
作者:
Shi, Yuetian
;
Fu, Bin
;
Wang, Nan
;
Chen, Yaxiong
;
Fang, Jie
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/07
Multispectral image quality improvement
Meteorological information
Spectral-spatial fusion
Image degradation
Global iterative fusion