Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)
A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary pre-classification bet...
| المؤلفون الرئيسيون: | , , , , |
|---|---|
| التنسيق: | info:eu-repo/semantics/article |
| اللغة: | English |
| منشور في: |
MDPI
2020
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10835/7499 |