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Application of object-based accuracy assessment for land cover classification using rapideye images in Southeastern Brazil

https://doi.org/10.3990/2.435
0 signed · 12 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jag.2012.05.007openalex-snapshot
Spatial and thematic assessment of object-based forest stand delineation using an OFA-matrix
inferredcites →https://doi.org/10.1016/j.rse.2016.02.030openalex-snapshot
A new approach for land cover classification and change analysis: Integrating backdating and an object-based method
inferredcites →https://doi.org/10.1016/j.rse.2016.03.015openalex-snapshot
Learning selfhood scales for urban land cover mapping with very-high-resolution satellite images
inferredcites →https://doi.org/10.1016/s0034-4257(01)00295-4openalex-snapshot
Status of land cover classification accuracy assessment
inferredcites →https://doi.org/10.1080/01431160701469065openalex-snapshot
An object‐oriented approach for analysing and characterizing urban landscape at the parcel level
inferredcites →https://doi.org/10.1080/01431161.2013.845319openalex-snapshot
A framework for the geometric accuracy assessment of classified objects
inferredcites →https://doi.org/10.1080/01431161.2014.943328openalex-snapshot
Accuracy assessment of object-based image classification: another STEP
inferredcites →https://doi.org/10.1109/jstars.2012.2236079openalex-snapshot
Accuracy Assessment of a Remote Sensing-Based, Pan-European Forest Cover Map Using Multi-Country National Forest Inventory Data
inferredcites →https://doi.org/10.1109/tgrs.2009.2029570openalex-snapshot
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images
inferredcites →https://doi.org/10.1111/j.1477-9730.2010.00574_2.xopenalex-snapshot
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
inferredcites →https://doi.org/10.1111/j.1541-0064.2009.00304.xopenalex-snapshot
Ten compactness properties of circles: measuring shape in geography

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4671921openalex-extracted
An Integrated Object-Based Sampling Approach for Validating the Accuracy of Non-Contiguous Tropical Forest Cover Data
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