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
地理科学与资源研究所 [6]
成都山地灾害与环境研... [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
植物研究所 [1]
更多
采集方式
OAI收割 [11]
内容类型
期刊论文 [9]
会议论文 [2]
发表日期
2022 [3]
2021 [1]
2020 [5]
2011 [1]
2007 [1]
学科主题
Environmen... [1]
Geoscience... [1]
Imaging Sc... [1]
Remote Sen... [1]
筛选
浏览/检索结果:
共11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
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
Global mapping of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 115, 页码: 12
作者:
Wang, Zhihua
;
Zhang, Junyao
;
Yang, Xiaomei
;
Huang, Chong
;
Su, Fenzhen
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/01/09
Aquaculture
Google Earth Engine
Sentinel-2 Image
Time Series
Edge Detection
Morphology
Global mapping of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 115, 页码: 12
作者:
Wang, Zhihua
;
Zhang, Junyao
;
Yang, Xiaomei
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2023/01/09
Aquaculture
Google Earth Engine
Sentinel-2 Image
Time Series
Edge Detection
Morphology
Loess Landslide Detection Using Object Detection Algorithms in Northwest China
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:
Ju, Yuanzhen
;
Xu, Qiang
;
Jin, Shichao
;
Li, Weile
;
Su, Yanjun
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/03/07
loess landslide
google earth image
deep learning
automatic identification
object detection
Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371
作者:
Fang, Weizhen
;
Sun, Yiyuan
;
Ji, Rui
;
Wan, Wei
;
Ma, Lei
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/12/01
Dams
Image recognition
Remote sensing
Earth
Training
Internet
Object recognition
Convolutional neural networks (CNNs)
dams
deep learning
Google earth
object recognition
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 389-405
作者:
Zhao, Chuanpeng
;
Qin, Cheng-Zhi
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/03/16
Mangrove map
Sentinel
River salinity
Time series image analysis
Google Earth Engine
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 389-405
作者:
Zhao, Chuanpeng
;
Qin, Cheng-Zhi
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/16
Mangrove map
Sentinel
River salinity
Time series image analysis
Google Earth Engine
Open-Surface Water Bodies Dynamics Analysis in the Tarim River Basin (North-Western China), Based on Google Earth Engine Cloud Platform
期刊论文
OAI收割
WATER, 2020, 卷号: 12, 期号: 10, 页码: 27
作者:
Chen, Jiahao
;
Kang, Tingting
;
Yang, Shuai
;
Bu, Jingyi
;
Cao, Kexin
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/03/16
open-surface water bodies
Landsat image
Google Earth Engine
Tarim River Basin
climate change
Open-Surface Water Bodies Dynamics Analysis in the Tarim River Basin (North-Western China), Based on Google Earth Engine Cloud Platform
期刊论文
OAI收割
WATER, 2020, 卷号: 12, 期号: 10, 页码: 27
作者:
Chen, Jiahao
;
Kang, Tingting
;
Yang, Shuai
;
Bu, Jingyi
;
Cao, Kexin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/03/16
open-surface water bodies
Landsat image
Google Earth Engine
Tarim River Basin
climate change
Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection
期刊论文
OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 3024-3038
作者:
Dai Wen
;
Hu Guang-hui
;
Yang Xin
;
Yang Xian-wu
;
Cheng Yi-han
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/02/17
Ephemeral gully mapping
Edge detection
Flow direction
Gully erosion
Google Earth image
ASTER GDEM
Automatic bridge extraction for optical images (EI CONFERENCE)
会议论文
OAI收割
6th International Conference on Image and Graphics, ICIG 2011, August 12, 2011 - August 15, 2011, Hefei, Anhui, China
Gu D.-Y.
;
Zhu C.-F.
;
Shen H.
;
Hu J.-Z.
;
Chang H.-X.
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2013/03/25
This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge
we extract the river regions which the bridges are included in. Firstly
we segment the optical image to get the coarse water bodies using iterative threshold
eliminate the noise regions and add the missing regions based on k-means clustering with texture information and spatial coherence. Then
the blanks are connected based on shape features and candidate bridge regions are segmented from river regions. Finally
the bridges are verified by geometric information and the ubiety between bridges and river. The results show that this approach is efficient and effective for extracting bridges in satellite image from Google Earth and in aerial optical images acquired by unmanned aerial vehicle. 2011 IEEE.