Home › Entities › academia › An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery

An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2022) · cited 20× · AI/ML
academia openalex:W4210512011
Press Enter · cited answer in seconds

An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery

Summary

An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery is a scholarly article[1].

Key Facts

  • An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin
MLA “An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin.
BibTeX @misc{4ortxyz_an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery}}, year = {2026}, url = {https://4ort.xyz/entity/an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery — https://4ort.xyz/entity/an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-assessment-of-image-classifiers-for-generating-machine-learning-training-samples-for-mapping-the-invasive-campuloclin · Last refreshed: