Работы, цитирующие эту работу

Работ: 3

Работа: Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

1. Object-based approach for urban land cover mapping using high spatial resolution data

   Małgorzata Verőné Wojtaszek, Levente Ronczyk, Zokhid Mamatkulov +1

   СтатьяRemote-Sensing Image ClassificationE3S Web of Conferences2021Цитирований: 11

   ABIABI:AkademIndex/openalex/2026.other.084472

2. Irrigation network extraction in arid regions with using worldview-2 satellite data

   Shamshod Akmalov, Luqmon Samiev, Tursunoy Apakhodjaeva +2

   СтатьяEngineering and Agricultural InnovationsE3S Web of Conferences2021Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.245524

3. Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches

   Amit Kumar Basukala, Carsten Oldenburg, J. Schellberg +2

   СтатьяRemote Sensing in AgricultureEuropean Journal of Remote Sensing2017Цитирований: 0

   ABIABI:AkademIndex/openalex/2017.article.000037