Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A Physics-Motivated Spectral Index for Cross-Regional Photovoltaic Localization. |
| Συγγραφείς: |
M A; Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)., Mohan A; Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences., H G; Department of Electronics and Communication Engineering, Cambridge Institute of Technology., Rinesh S; Department of Information Technology, V. S. B. College of Engineering Technical Campus., Prajitha C; Department of Electronics and Communication Engineering/Centre for Interdisciplinary Research, Karpagam Academy of Higher Education., Kumar APS; School of Social Work, College of Social Sciences and Humanities, Jigjiga University; senthilapsk@jju.edu.et. |
| Πηγή: |
Journal of visualized experiments : JoVE [J Vis Exp] 2026 Sep 29 (235). Date of Electronic Publication: 2026 Sep 29. |
| Τύπος έκδοσης: |
Journal Article; Video-Audio Media |
| Γλώσσα: |
English |
| Στοιχεία περιοδικού: |
Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE |
| Imprint Name(s): |
Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]- |
| Ιατρικοί όροι (MeSH): |
Satellite Imagery*/methods , Remote Sensing Technology*/methods , Solar Energy* |
| Περίληψη: |
Effective large-scale monitoring is needed as photovoltaic (PV) systems expand across urban and rural areas. Remote sensing provides a practical approach for wide-area PV detection; however, variations in panel materials, climatic conditions, and background surfaces may affect detection performance. Spectral indices may be region-specific or require empirical calibration, restricting their applicability across different settings. This study introduces the Physics-Adaptive Reflectance Harmonization Index (PARHI), a spectral index for cross-regional PV localization using multispectral satellite imagery. PARHI distinguishes PV installations from surrounding surfaces using physically motivated spectral relationships and adaptive weighting of visible, near-infrared (NIR), and short-wave infrared (SWIR) responses. PV localization is performed by applying an empirically selected decision threshold to the PARHI response. Experimental evaluation across the examined locations demonstrated 96.42% accuracy, 95.87% precision, 94.96% recall, a 95.41% F1-score, and a 91.23% Intersection over Union (IoU). Threshold-sensitivity, ablation, seasonal, illumination, and cross-sensor assessments further evaluated performance under the investigated conditions. Thus, PARHI provides an interpretable, training-independent spectral approach for rapid PV localization across the evaluated environments and acquisition conditions. Further validation across broader climatic and geographic settings is required to establish wider generalizability. |
| Entry Date(s): |
Date Created: 20260930 Date Completed: 20260930 Latest Revision: 20260930 |
| Update Code: |
20260930 |
| DOI: |
10.3791/73760 |
| PMID: |
42813681 |
| Βάση Δεδομένων: |
MEDLINE |