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在“
自然资源管理
”中,
命中:
169
条,耗时:小于0.01 秒
1.
A Compressive Sensing
based
privacy preserving outsourcing of
image
storage and identity authentication service in cloud
作者:
Guiqiang Hua
;
Di Xiao
;
a
;
xiaodi_cqu@hotmail.com
;
Tao Xianga
;
Sen Baib
;
Yushu Zhangc
关键词:
Compressive sensing
;
Cloud security
;
Privacy preserving
;
Image
storage
;
Watermark detection in the encrypted domain
刊名:Information Sciences
年:2017
2.
Analysis
and Exploitation of CTU-Level Parallelism in the HEVC Mode Decision Process Using Actor-
Based
Modeling
关键词:
Video encoding
;
HEVC
;
ESL
;
DSE
;
Parallelization
;
Actor
;
based
modeling
;
Hardware/software co
;
design
刊名:Lecture Notes in Computer Science
出版者:Springer Berlin / Heidelberg
年:2016
3.
Mapping trees outside forests using high-resolution aerial
image
ry: a comparison of pixel- and object-
based
classification approaches
作者:
Dacia M. Meneguzzo (1) Greg C. Liknes (1) Mark D. Nelson (1)
关键词:
Trees outside forests
;
Forest inventory
;
Tree cover
;
Aerial photography
;
Object
;
based
image
analysis
;
Independent component
analysis
刊名:Environmental Monitoring and Assessment
年:2013
4.
Modelling habitat suitability for alpine rock ptarmigan (Lagopus muta helvetica) combining object-
based
classification of IKONOS
image
ry and Habitat Suitability Index modelling
作者:
Margit Zohmanna
;
margit.zohmann@boku.ac.at
;
Josef Pennerstorferb
;
josef.pennerstorfer@boku.ac.at
;
Ursula Nopp-Mayra
;
ursula.nopp-mayr@boku.ac.at
关键词:
Object-
based
image
analysis
;
Image
classification
;
IKONOS
;
Habitat suitability modelling
;
Alpine rock ptarmigan
;
Habitat monitoring tool
刊名:Ecological Modelling
年:2013
5.
A near real-time water surface detection method
based
on HSV transformation of MODIS multi-spectral time series data
作者:
J.-F. Pekel
;
C. Vancutsem
;
L. Bastin
;
M. Clerici
;
E. Vanbogaert
;
E. Bartholom茅
;
P. Defourny
关键词:
MODIS
;
Water surface detection
;
Time series
analysis
;
Color space transformation
;
HSV
;
Spatial and temporal dynamics
;
Multi-temporal
;
Multi-spectral
;
Pixel-
based
image
analysis
刊名:Remote Sensing of Environment
年:January, 2014
6.
Using a pattern metric-
based
analysis
to examine the success of forest policy implementation in Southwest China
作者:
Jamon Van Den Hoek
;
Amy C. Burnicki
;
Mutlu Ozdogan
;
A-Xing Zhu
关键词:
Pattern
analysis
;
Forest policy
;
NFPP
;
SLCP
;
Forest cover change
;
Temporal resolution
;
Yunnan
;
China
刊名:Landscape Ecology
出版者:Springer Netherlands
年:2015
7.
Object-
based
image
analysis
for distinguishing indigenous and exotic forests in coffee production areas of Ethiopia
作者:
Binyam Tesfaw Hailu (1) Eduardo Eiji Maeda (1) Pekka Hurskainen (1) Petri P. K. E. Pellikka (1)
关键词:
OBIA
;
PCA
;
Coffea arabica
;
Indigenous forest
;
Exotic forest
;
Ethiopia
刊名:Applied Geomatics
年:2014
8.
Scenario-
based
evaluation of urban development sustainability: an integrative modeling approach to compromise between urbanization suitability index and landscape pattern
作者:
Yousef Sakieh
;
Bahman Jabbarian Amiri…
关键词:
Sustainability
;
Urban development scenarios
;
Urban land
;
use change
;
SLEUTH
;
Karaj City
;
Iran
刊名:Environment, Development and Sustainability
出版者:Springer Netherlands
年:2015
9.
Regional mineral resources assessment
based
on rasterized geochemical data: A case study of porphyry copper deposits in Manzhouli, China
作者:
Jiang Chen
;
chen07761@itc.nl" class="auth_mail" title="E-mail the corresponding author
;
Renyi Chen
;
Zhaoxia Mao
;
Hongzhi Yang
;
Chunpeng Zhang
;
Renping Han
关键词:
Geochemical atlas
;
Ore-bearing hydrothermal alteration coefficient
;
Denudation coefficient
;
Mineralization intensity coefficient
;
Prospective target area
;
Porphyry copper deposits
刊名:Ore Geology Reviews
年:2016
10.
Semi-automated
analysis
of high-resolution aerial
image
s to quantify docks in glacial lakes
作者:
Marcus W. Becka
;
beckx266@umn.edu
;
Bruce Vondracekb
;
1
;
bvondrac@umn.edu
;
Lorin K. Hatchc
;
2
;
Lorin.Hatch@hdrinc.com
;
Jason Vinjed
;
3
;
jlvinje@umn.edu
关键词:
Aquatic resources
;
Docks
;
Object-
based
image
analysis
;
Shoreline development
;
Unsupervised classification
刊名:ISPRS Journal of Photogrammetry and Remote Sensing
年:2013
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