Работы, на которые ссылается эта работа

Работ: 42

Работа: Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches

Random Forests
Leo Breiman
Статья2001Цитирований: 67
ABI
Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling
Olena Dubovyk, Gunter Menz, Christopher Conrad +3
СтатьяRangeland Management and Livestock EcologyEnvironmental Monitoring and Assessment2012Цитирований: 11
ABI
Object based image analysis for remote sensing
Thomas Blaschke
Статья2009Цитирований: 11
ABI
Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data
Christopher Conrad, Sebastian Fritsch, Julian Zeidler +2
Статья2010Цитирований: 10
ABI
Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan
Christopher Conrad, Maren Rahmann, Miriam Machwitz +3
СтатьяRemote Sensing in AgricultureGlobal and Planetary Change2013Цитирований: 7
ABI
Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images
Christopher Conrad, Stefan Dech, Olena Dubovyk +5
Статья2014Цитирований: 7
ABI
An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data
Prasad S. Thenkabail, Zhuoting Wu
Статья2012Цитирований: 5
ABI
Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data
Fabian Löw, Christopher Conrad, Ulrich Michel
Статья2015Цитирований: 5
ABI
Efficiency and accuracy of per-field classification for operational crop mapping
Allard de Wit, J.G.P.W. Clevers
Статья2004Цитирований: 4
ABI
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson, Giles M. Foody, Martin Herold +3
Статья2014Цитирований: 4
ABI
Spatial targeting of land rehabilitation: a relational analysis of cropland productivity decline in arid Uzbekistan
Olena Dubovyk, Gunter Menz, Christopher Conrad +3
Статья2013Цитирований: 3
ABI
Mapping multi-year cropping patterns in small irrigation districts from time-series analysis of Landsat TM images
J.A. Martı́nez-Casasnovas, Almudena Martín-Montero, M. Auxiliadora Casterad
Статья2005Цитирований: 3
ABI
Object-based crop identification using multiple vegetation indices, textural features and crop phenology
José M. Peña, Moffatt K. Ngugi, Richard E. Plant +1
Статья2011Цитирований: 3
ABI
Introductory digital image processing: A remote sensing perspective
John R. Jensen, Kalmesh Lulla
Статья1987Цитирований: 3
ABI
Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
Soe W. Myint, Patricia Gober, Anthony J. Brazel +2
Статья2011Цитирований: 3
ABI
A survey of image classification methods and techniques for improving classification performance
Dengsheng Lu, Qihao Weng
Статья2007Цитирований: 3
ABI
Multi-scale targeting of land degradation in northern Uzbekistan using satellite remote sensing
Olena Dubovyk
Диссертация2013Цитирований: 3
ABI
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
Fabian Löw, Ulrich Michel, Stefan Dech +1
Статья2013Цитирований: 2
ABI
The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM
Giles M. Foody, Ajay Mathur
Статья2006Цитирований: 2
ABI
Classifier ensembles for land cover mapping using multitemporal SAR imagery
Björn Waske, Matthias Braun
Статья2009Цитирований: 2
ABI
Remote Sensing Digital Image Analysis
John A. Richards, Xiuping Jia
Книга2005Цитирований: 2
ABI
The SAGE Handbook of Remote Sensing
Timothy A. Warner, Mike Nellis, Giles M. Foody
Книга2009Цитирований: 2
ABI
A Comprehensive Review on Pixel Oriented and Object Oriented Methods for Information Extraction from Remotely Sensed Satellite Images with a Special Emphasis on Cryospheric Applications
Shridhar D. Jawak, Prapti Devliyal, Alvarinho J. Luis
Обзорная статья2015Цитирований: 2
ABI
SPOT-Based Sub-Field Level Monitoring of Vegetation Cover Dynamics: A Case of Irrigated Croplands
Olena Dubovyk, Gunter Menz, Alexander Lee +3
Статья2015Цитирований: 2
ABI
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
Dennis C. Duro, Steven E. Franklin, Monique G. Dubé
Статья2011Цитирований: 2
ABI