WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS

20 citations as recorded by crossref.

1. Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery X. Huang et al. https://doi.org/10.1109/JSTARS.2015.2420713
2. Water indices for surface water extraction using geospatial techniques: a brief review K. Purnam et al. https://doi.org/10.1007/s40899-024-01035-0
3. Shoreline extraction on Java’s North Coast based on the satellite imagery: utilizing U-Net segmentation across diverse coastal characteristics E. Wiguna et al. https://doi.org/10.1007/s12145-025-02022-5
4. Role of statistical remote sensing for Inland water quality parameters prediction K. Abdelmalik https://doi.org/10.1016/j.ejrs.2016.12.002
5. Evaluation of Classification Techniques for Land Use Change Mapping of Indian Cities V. Avashia et al. https://doi.org/10.1007/s12524-020-01122-7
6. Smart Ship Draft Reading by Dual-Flow Deep Learning Architecture and Multispectral Information B. Zhang et al. https://doi.org/10.3390/s24175580
7. Application of Fuzzy Logic to Satellite Reflectance for Precise Water Quality Management in the Saint John River, Canada: A Novel Approach E. Sharaf El Din https://doi.org/10.1007/s12524-025-02348-z
8. Automatic Generation of Water Masks from RapidEye Images G. Tetteh & M. Schönert https://doi.org/10.4236/gep.2015.310003
9. Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang Y. Jin-Ming et al. https://doi.org/10.1080/19475705.2018.1531942
10. Mapping Phytoplankton and Algal Blooms With a Novel Multisensor Water Index V. Mishra & A. Mishra https://doi.org/10.1109/JSTARS.2024.3368199
11. Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River R. Sharma et al. https://doi.org/10.3389/fenvs.2020.581591
12. Balancing Accuracy and Efficiency: HWBENet for Water Body Extraction in Complex Rural Landscapes P. Lei et al. https://doi.org/10.3390/rs17223711
13. Development of a spectral‐pattern‐analysis‐based method for automated water body extraction using Landsat image data: A case study in central Vietnam and southern Laos N. Duong et al. https://doi.org/10.1002/lom3.10215
14. Sea water quality monitoring using remote sensing techniques: a case study in Tangier-Ksar Sghir coastline I. Bourouhou & F. Salmoun https://doi.org/10.1007/s10661-021-09242-4
15. MESA-Net: A Multi-Directional Edge-Aware Network with Scale Adaptation for Water Body Segmentation in Karst Landscapes B. Song et al. https://doi.org/10.3390/rs18111865
16. An automated mathematical morphology driven algorithm for water body extraction from remotely sensed images C. Rishikeshan & H. Ramesh https://doi.org/10.1016/j.isprsjprs.2018.08.014
17. Comparison of multi-source satellite data for quantifying water quality parameters in a mining environment M. Modiegi et al. https://doi.org/10.1016/j.jhydrol.2020.125322
18. Mapping Coastal Dynamics Induced Land Use Change in Sandwip Island, Bangladesh P. Langat et al. https://doi.org/10.3390/rs16244686
19. HyMambaNet: Efficient Remote Sensing Water Extraction Method Combining State Space Modeling and Multi-Scale Features H. Liu et al. https://doi.org/10.3390/s25247414
20. A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes S. Jawak et al. https://doi.org/10.4236/ars.2015.43016