Application of Image Recognition Methods to Determine Land Use Classes
The increasing availability of satellite data and advances in machine learning (ML) have significantly enhanced land use image classification for environmental monitoring. However, the primary challenge in land use classification using satellite imagery lies in the presence of cloud cover, variation...
Saved in:
| Main Authors: | Julius Jancevičius, Diana Kalibatienė |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4765 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr)
by: Mohammad Hossein Hajarian, et al.
Published: (2022-09-01) -
Sentinel-2 Satellite Image Processing using Machine Learning Algorithms of the Manombo Nature Reserve
by: Valerien Eugene Tsaramanana
Published: (2025-01-01) -
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
by: Hanif Heidari, et al.
Published: (2025-01-01) -
Integration of geospatial techniques and machine learning in land parcel prediction
by: Nekkanti Haripavan, et al.
Published: (2025-05-01) -
Integration of Texture and PCA Information from Sentinel-1 SAR Data for Land Cover-Analysis using Random Forest Classifier Method in Sidoarjo Regency, Indonesia
by: Filsa Bioresita, et al.
Published: (2025-03-01)