NDVI and Beyond: Vegetation Indices as Features for Crop Recognition and Segmentation in Hyperspectral Data
Vegetation indices have long been central to vegetation monitoring through remote sensing. The most popular one is the Normalized Difference Vegetation Index (NDVI), yet many vegetation indices (VIs) exist. In this paper, we investigate their distinctiveness and discriminative power in the context o...
Saved in:
| Main Authors: | Andreea Nițu, Corneliu Florea, Mihai Ivanovici, Andrei Racoviteanu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/12/3817 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analyzing Vegetation Heterogeneity Trends in an Urban-Agricultural Landscape in Iran Using Continuous Metrics and NDVI
by: Ehsan Rahimi, et al.
Published: (2025-01-01) -
Automatic optimization of regions of interest in hyperspectral images for detecting vegetative indices in soybeans
by: Sangyeab Lee, et al.
Published: (2025-03-01) -
Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images
by: Corneliu Florea, et al.
Published: (2025-01-01) -
NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure
by: Zihong Liu, et al.
Published: (2025-03-01) -
Detection of recent changes in Gambia vegetation cover using time series modis ndvi
by: Boubacar Solly, et al.
Published: (2021-06-01)