Работы, цитирующие эту работу

Работ: 3

Работа: Object-based crop identification using multiple vegetation indices, textural features and crop phenology

1. Extraction of Cotton Information with Optimized Phenology-Based Features from Sentinel-2 Images

   Yuhang Tian, Yanmin Shuai, Congying Shao +7

   СтатьяRemote Sensing in AgricultureRemote Sensing2023Цитирований: 2

   ABIABI:AkademIndex/openalex/2023.article.000566

2. Comparison of pixel to pixel and object-based image analysis with using WorldView-2 satellite images of Yangiobod village of Syrdarya province

   Aybеk Arifjanov, Shamshodbek Akmalov, Tursunoy Apakhodjaeva +1

   СтатьяRemote Sensing and Land UseInterCarto InterGIS2020Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.501968

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