Home › Entities › academia › Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan

Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan

Research article (Remote Sensing, 2019) · cited 12× · AI/ML
academia openalex:W2969325156
Press Enter · cited answer in seconds

Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan

Summary

Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan is a scholarly article[1].

Key Facts

  • Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan's Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan — 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). Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan. Retrieved May 24, 2026, from https://4ort.xyz/entity/direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for
MLA “Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for.
BibTeX @misc{4ortxyz_direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan}}, year = {2026}, url = {https://4ort.xyz/entity/direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan — https://4ort.xyz/entity/direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/direct-ecoc-nd-and-end-frameworkswhich-one-is-the-best-an-empirical-study-of-sentinel-2a-msil1c-image-classification-for · Last refreshed: