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Corcoran, Jennifer, Knight, Joseph, Pelletier, Keith, Rampi, Lian, Wang, Yan (2015) The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands. Remote Sensing, 7 (4). doi:10.3390/rs70404002

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Reference TypeJournal (article/letter/editorial)
TitleThe Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands
JournalRemote Sensing
AuthorsCorcoran, JenniferAuthor
Knight, JosephAuthor
Pelletier, KeithAuthor
Rampi, LianAuthor
Wang, YanAuthor
Year2015 (April 2)Volume7
Issue4
PublisherMDPI AG
DOIdoi:10.3390/rs70404002Search in ResearchGate
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Mindat Ref. ID17804589Long-form Identifiermindat:1:5:17804589:0
GUID0
Full ReferenceCorcoran, Jennifer, Knight, Joseph, Pelletier, Keith, Rampi, Lian, Wang, Yan (2015) The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands. Remote Sensing, 7 (4). doi:10.3390/rs70404002
Plain TextCorcoran, Jennifer, Knight, Joseph, Pelletier, Keith, Rampi, Lian, Wang, Yan (2015) The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands. Remote Sensing, 7 (4). doi:10.3390/rs70404002
In(2015, April) Remote Sensing Vol. 7 (4). MDPI AG

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Corcoran, Jennifer, Knight, Joseph, Gallant, Alisa (2013) Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota. Remote Sensing, 5 (7). doi:10.3390/rs5073212
Pei, Wenming, Yao, Suping, Knight, Joseph F., Dong, Shaochun, Pelletier, Keith, Rampi, Lian P., Wang, Yan, Klassen, Jim (2017) Mapping and detection of land use change in a coal mining area using object-based image analysis. Environmental Earth Sciences, 76 (3). doi:10.1007/s12665-017-6444-9
Johnson, Brian (2015) Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on “The Improvement of Land Cover Classification by Thermal Remote Sensing”. Remote Sens. 2015, 7(7), 8368–8390. Remote Sensing, 7 (10). doi:10.3390/rs71013436
Millard, Koreen, Richardson, Murray (2015) On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping. Remote Sensing, 7 (7). doi:10.3390/rs70708489
Jiang, Zhe, Shekhar, Shashi, Zhou, Xun, Knight, Joseph, Corcoran, Jennifer (2015) Focal-Test-Based Spatial Decision Tree Learning. IEEE Transactions on Knowledge and Data Engineering, 27 (6) 1547-1559 doi:10.1109/tkde.2014.2373383
Deng, Lei, Yan, Ya-nan, Wang, Cuizhen (2015) Improved POLSAR Image Classification by the Use of Multi-Feature Combination. Remote Sensing, 7 (4). doi:10.3390/rs70404157
Liu, Xiaolong, Bo, Yanchen (2015) Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data. Remote Sensing, 7 (1). doi:10.3390/rs70100922
Sun, Liya, Schulz, Karsten (2015) Response to Johnson B.A. Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on “The Improvement of Land Cover Classification by Thermal Remote Sensing”. Remote Sens. 2015, 7, 8368–8390. Remote Sensing, 7 (10). doi:10.3390/rs71013440
Li, Xiaolian, Song, Weiguo, Lian, Liping, Wei, Xiaoge (2015) Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data. Remote Sensing, 7 (4). doi:10.3390/rs70404473
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Gu, Jianyu, Congalton, Russell, Pan, Yaozhong (2015) The Impact of Positional Errors on Soft Classification Accuracy Assessment: A Simulation Analysis. Remote Sensing, 7 (1). doi:10.3390/rs70100579
 
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