Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes.

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Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

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Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

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Item

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Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

@en

Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

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Comparing Pixel- and Object-Ba ...... g Wetland-Dominated Landscapes

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Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

@en

Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

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P1476

Comparing Pixel- and Object-Ba ...... Wetland-Dominated Landscapes.

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P2093

Bradley C Autrey

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Hongxing Liu

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Oleg A Anenkhonov

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P2860

Note on the sampling error of the difference between correlated proportions or percentages

Remarkable amphibian biomass and abundance in an isolated wetland: implications for wetland conservation.

Remote Sensing in Mapping Mangrove Ecosystems — An Object-Based Approach

How much wetland has the world lost? Long-term and recent trends in global wetland area

Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction

Using mixed objects in the training of object-based image classifications

A soil-adjusted vegetation index (SAVI)

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images

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scholarly article

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10.3390/RS10010046

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English

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P577

2018-01-01T00:00:00Z

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29707381

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P921

QuickBird

random forest

Baikal

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5920549

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