STUDY ON THE WATER BODY EXTRACTION USING GF-1 DATA BASED ON ADABOOST INTEGRATED LEARNING ALGORITHM

10 citations as recorded by crossref.

1. Water-Body Segmentation for Multi-Spectral Remote Sensing Images by Feature Pyramid Enhancement and Pixel Pair Matching S. Chen et al.
2. Cloud Segmentation, Validation of Weather Data, and Precipitation Prediction Using Machine Learning Algorithms N. Rajendiran et al.
3. Multi scale feature extraction network with machine learning algorithms for water body extraction from remote sensing images R. Nagaraj & L. Kumar
4. An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake F. Zhang et al.
5. Investigation of Meteorological Effects on Çivril Lake, Turkey, with Sentinel-2 Data on Google Earth Engine Platform P. Karakus
6. Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method Z. Dong et al.
7. A high-resolution inland surface water body dataset for the tundra and boreal forests of North America Y. Sui et al.
8. Pixel Level Feature Extraction and Machine Learning Classification for Water Body Extraction N. Rajendiran & L. Kumar
9. Synergistic Use of Earth Observation Driven Techniques to Support the Implementation of Water Framework Directive in Europe: A Review N. Samarinas et al.
10. Geospatial artificial intelligence for detection and mapping of small water bodies in satellite imagery A. Paul et al.