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
遥感与数字地球研究... [15]
国家空间科学中心 [4]
地理科学与资源研究所 [3]
中国科学院大学 [3]
海洋研究所 [2]
武汉岩土力学研究所 [1]
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OAI收割 [25]
iSwitch采集 [3]
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会议论文 [19]
期刊论文 [8]
SCI/SSCI论文 [1]
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2025 [1]
2024 [1]
2018 [2]
2017 [1]
2016 [1]
2014 [2]
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微波遥感 [2]
Environmen... [1]
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A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 318, 页码: 114579
作者:
Fan, Dong
;
Zhao, Tianjie
;
Jiang, Xiaoguang
;
Garcia-Garcia, Almudena
;
Schmidt, Toni
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/03/18
Soil moisture
SAR
Microwave
Sentinel-1
High resolution
Difference-Focusing Fusion Decision Method: An Ensemble Learning Framework and Its Application in Improving Deep Learning Sea-Land Segmentation for Waterline Extraction in Synthetic Aperture Radar Imagery
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14
作者:
Zheng, Gang
;
Zhou, Yinfei
;
Liu, Bin
;
Zhou, Lizhang
;
Jiang, Han
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2024/12/20
Image resolution
Image segmentation
Radar polarimetry
Training
Oceanography
Oceans
Synthetic aperture radar
Deep learning
ensemble learning
framework
segmentation
synthetic aperture radar (SAR)
waterline
Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 卷号: 15, 期号: 8, 页码: 1204-1208
作者:
Wu, Wenjin
;
Li, Xinwu
;
Guo, Huadong
;
Liang, Lei
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/05/23
Feature extraction
image classification
ultra-high resolution (UHR) synthetic aperture radar (SAR)
Short Range SAR Imaging for 2D Micro-Deformation Detection
会议论文
OAI收割
Boston, MA, JUL 08-13, 2018
作者:
Shao, Zelong
;
Zhang, Xiangkun
;
Ren, Jiawei
;
Li, Yingsong
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/04/04
Micro-deformation
SAR
Super-resolution
Interferometry
High-Resolution SAR/ISAR Imaging with Chaotic Noise Signals
会议论文
OAI收割
Kuala Lumpur, MALAYSIA, NOV 13-16, 2017
作者:
Zhang, Yunhua
;
Dong, Xiao
;
Yang, Qilun
;
Zhai, Wenshuai
;
Shi, Xiaojin
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2018/04/09
High-resolution
Sar/isar
Chaotic Noise Signals
A drought monitoring operational system for China using satellite data: design and evaluation
期刊论文
OAI收割
Geomatics, Natural Hazards and Risk, 2016, 卷号: 7, 期号: 1, 页码: 264-277
作者:
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/04/24
LEVEL SET EVOLUTION
HIGH-RESOLUTION SAR
IMAGE SEGMENTATION
BEILUHE BASIN
PERMAFROST
RADAR
MODEL
COASTLINE
CLASSIFICATION
EXTRACTION
Detection of macroalgae blooms by complex SAR imagery
期刊论文
OAI收割
MARINE POLLUTION BULLETIN, 2014, 卷号: 78, 期号: 1-2, 页码: 190-195
作者:
Shen, Hui
;
Perrie, William
;
Liu, Qingrong
;
He, Yijun
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2015/06/11
Green macroalgae blooms
Synthetic aperture radar (SAR)
High resolution early detection
Unsupervised SAR index factor
A 50-m Forest Cover Map in Southeast Asia from ALOS/PALSAR and Its Application on Forest Fragmentation Assessment
SCI/SSCI论文
OAI收割
2014
Dong J. W.
;
Xiao X. M.
;
Sheldon S.
;
Biradar C.
;
Zhang G. L.
;
Duong N. D.
;
Hazarika M.
;
Wikantika K.
;
Takeuhci W.
;
Moore B.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2014/12/24
coarse spatial-resolution
alos palsar
accuracy assessment
tropical
forests
sar data
brazilian amazonia
rubber plantations
landsat
imagery
satellite data
united-states
SAR SUPERRESOLUTION IMAGING ALGORITHM BASED ON SPATIALLY VARIANT APODIZATION
会议论文
OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium, New York
Zhang, Ping
;
Li, Zhen
;
Zhou, Jianmin
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2014/12/07
Synthetic Aperture Radar (SAR)
Spatially Variant Apodization (SVA)
Super-resolution
SPECTRAL ESTIMATION
EXTRAPOLATION
RESOLUTION
SHIP DETECTION BASED ON FEATURE CONFIDENCE FOR HIGH RESOLUTION SAR IMAGES
会议论文
OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium (Igarss)
Jiang, Shaofeng
;
Wang, Chao
;
Zhang, Bo
;
Zhang, Hong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2014/12/07
ship detection
Constant false alarm rate (CFAR)
K-distribution
high
resolution SAR
feature confidence
DENSITY-FUNCTION