HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD – A RECIPE

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1. Mineralogical mapping using Landsat-8 OLI, Terra ASTER and Sentinel-2A multispectral data in Sidi Flah-Bouskour inlier, Moroccan Anti-Atlas Z. Adiri et al. https://doi.org/10.1080/14498596.2018.1490213
2. Mapping long-term surface water dynamics by integrating fine resolution binary maps and medium resolution fraction series Z. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133555
3. Investigating the Green and Thermal Environmental Quality of Educational Institutions in an Urban Planning Context: A Debrecen Case Study G. Csomós et al. https://doi.org/10.3390/buildings16040836
4. A genetic algorithm solution to the gram-schmidt image fusion V. Yilmaz et al. https://doi.org/10.1080/01431161.2019.1667553
5. Assessing the Fractional Abundance of Highly Mixed Salt-Marsh Vegetation Using Random Forest Soft Classification Z. Yang et al. https://doi.org/10.3390/rs12193224
6. Using the Landsat-8 Data Set and Shuttle Radar Topography Mission Digital Terrain Model for Gold–Polymetallic Mineralization Prediction on the Territory of the Central Part of the Malouralskaya Zone, the Polar Urals Y. Ivanova & I. Nafigin https://doi.org/10.1134/S0001433823120125
7. Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images Y. Zhang et al. https://doi.org/10.3390/ijgi9090543
8. A General Cooperative Optimization Driven High-Frequency Enhancement Framework for Multispectral Image Fusion C. Huang et al. https://doi.org/10.1109/TGRS.2025.3541561
9. Landsat Uydu Görüntülerinde Derin Öğrenme Tabanlı Tek Görüntülü Süper-Çözünürlük Deneyleri S. ÇİFTÇİ & M. KARAMAN https://doi.org/10.46578/humder.819176
10. Automatic detection of geological lineaments in central Turkey based on test image analysis using satellite data K. Tözün & A. Özyavaş https://doi.org/10.1016/j.asr.2022.02.026
11. Accurate Automatic Object Identification Under Complex Lighting Conditions via AI Vision on Enhanced Infrared Polarization Images R. Jia et al. https://doi.org/10.3390/opt7010003
12. Searching for ancient gold mines in Filippoi area, Macedonia, Greece, using Worldview-2 satellite imagery D. Oikonomidis et al. https://doi.org/10.1080/10106049.2015.1128487
13. Implications of landscape configuration on understory forage productivity: a remote sensing assessment of native forests openings F. Trinco et al. https://doi.org/10.1007/s10457-021-00676-w
14. Satellite Imagery-Based Damage Assessment on Nineveh and Nebi Yunus Archaeological Site in Iraq E. Angiuli et al. https://doi.org/10.3390/rs12101672
15. Fine Mapping of Sparse Populus euphratica Forests Based on GF-2 Satellite Imagery and Deep Learning Models H. Li et al. https://doi.org/10.3390/rs18060902
16. Mapping of Metasomatic Changes for Prediction Gold Mineralization Based on Processing a Dataset of the Landsat 8 Remote Sensing Spacecraft for the Territory of the Eastern Slope of the Polar Urals J. Ivanova https://doi.org/10.1134/S0001433825701543
17. Wave dynamics and shoreline evolution in deltas: A case study of sandy coasts in the Volta delta of Ghana P. Jayson-Quashigah et al. https://doi.org/10.1190/INT-2021-0028.1
18. Deep Learning-Based Multisensor Approach for Precision Agricultural Crop Classification Based on Nitrogen Levels J. Reji & R. Rao Nidamanuri https://doi.org/10.1109/LGRS.2025.3556122
19. Integration of geophysical and remote sensing data for structural analysis and delineation of gold, fluorite, and barite mineralization in the Dawi shear belt, Egypt A. Eldosouky et al. https://doi.org/10.1038/s41598-026-52061-1
20. Influence of Tectonic Factor on Porphyry Copper Deposits Localization and Distribution (Arasbaran District, NW Iran): Synthesis of Alteration Patterns and Lineaments Using Digital Techniques T. Ramezani et al. https://doi.org/10.1134/S0016852122030062
21. Shadow-Based Hierarchical Matching for the Automatic Registration of Airborne LiDAR Data and Space Imagery A. Safdarinezhad et al. https://doi.org/10.3390/rs8060466
22. Comparison of land use/land cover change of fused image and multispectral image of landsat mission: a case study of Rajshahi, Bangladesh R. Arefin et al. https://doi.org/10.1007/s12665-021-09807-z
23. Application of Spectral Analysis and Image Processing Methods to Discriminate Hydrothermal Alteration Minerals Around the Tutakdağı (Şebinkarahisar-Giresun) Lead–Zinc Deposits, Northeastern Turkey O. Canbaz https://doi.org/10.1007/s12524-023-01742-9
24. Shadow detection using object area-based and morphological filtering for very high-resolution satellite imagery of urban areas S. Azevedo et al. https://doi.org/10.1117/1.JRS.13.036506
25. Self-Supervised Deep Learning for Urban Land Cover Classification from Very High Resolution Imagery K. Roy et al. https://doi.org/10.1080/07038992.2025.2532528
26. Roundoff-error-free QR factorization via integer-preserving Gram Schmidt orthogonalization L. Mejia-Domenzain et al. https://doi.org/10.1080/03081087.2025.2523276
27. From Regression Based on Dynamic Filter Network to Pansharpening by Pixel-Dependent Spatial-Detail Injection X. Liu et al. https://doi.org/10.3390/rs14051242
28. The role of data selection in mapping urban green and open spaces: a comparison across high and very-high resolution satellite imagery sources in two African cities O. Cardenas-Ritzert et al. https://doi.org/10.3389/frsen.2025.1625373
29. Refined Monitoring of Water Bodies in Built-Up Areas and Analysis and Evaluation of Water Color Characteristics in Complex Urban Backgrounds B. Li et al. https://doi.org/10.1109/JSTARS.2025.3575847
30. Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach H. Vahidi et al. https://doi.org/10.3390/rs10071134
31. Ứng dụng mô hình mô phỏng docking để so sánh tương tác giữa các thuốc kháng cholinergic với enzyme acetylcholinesterase N. Toàn et al. https://doi.org/10.22144/ctu.jsi.2020.108
32. Using Super-Resolution Algorithms for Small Satellite Imagery: A Systematic Review K. Karwowska & D. Wierzbicki https://doi.org/10.1109/JSTARS.2022.3167646
33. Watershed Land Cover/Land Use Mapping Using Remote Sensing and Data Mining in Gorganrood, Iran M. Minaei & W. Kainz https://doi.org/10.3390/ijgi5050057
34. Fusion of different multispectral band combinations of Sentinel-2A with UAV imagery for crop classification A. Allu & S. Mesapam https://doi.org/10.1117/1.JRS.18.016511
35. Mineral exploration modeling by convolutional neural network and continuous genetic algorithm: a case study in Khorasan Razavi, Iran M. Tahmooresi et al. https://doi.org/10.1007/s12517-022-10889-7
36. Identifying and Monitoring Gardens in Urban Areas Using Aerial and Satellite Imagery F. Arabi Aliabad et al. https://doi.org/10.3390/rs15164053
37. Pansharpened WorldView-3 Imagery and Machine Learning for Detecting Mal secco Disease in a Citrus Orchard A. Palma et al. https://doi.org/10.3390/rs18010110
38. Intercropping Classification From GF-1 and GF-2 Satellite Imagery Using a Rotation Forest Based on an SVM P. Liu & X. Chen https://doi.org/10.3390/ijgi8020086
39. Spectral Unmixing of Coastal Dune Plant Species from Very High Resolution Satellite Imagery K. Kombiadou et al. https://doi.org/10.3390/rs17243991
40. Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study R. Fletcher https://doi.org/10.4236/as.2023.149081
41. Impact of remote sensing data fusion on agriculture applications: A review A. Allu & S. Mesapam https://doi.org/10.1016/j.eja.2024.127478
42. 虎头山地区多平台同步热红外遥感稀有金属岩脉识别 D. Wang et al. https://doi.org/10.3799/dqkx.2024.039
43. Mapping Rice Fields in Urban Shanghai, Southeast China, Using Sentinel-1A and Landsat 8 Datasets L. Mansaray et al. https://doi.org/10.3390/rs9030257
44. Pre-Processing of Panchromatic Images to Improve Object Detection in Pansharpened Images A. Sekrecka et al. https://doi.org/10.3390/s19235146
45. Prediction perspective areas for the gold mineralization using the methods of mathematical information processing and the data set of remote sensing satellite Harmonized Landsat Sentinel-2 on the Polar Urals J. Ivanova & A. Bochneva https://doi.org/10.31857/S0205961424020043
46. Comparison of Built-Up Expansion Prediction Models for Magelang City and Its Peri Urban Areas: CA-Logistic Regression, CA-SVM, CA-MLP, and CA-RF H. Balqis https://doi.org/10.52939/ijg.v22i5.4982
47. Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives J. Malleswara Rao et al. https://doi.org/10.1109/TGRS.2015.2422712
48. ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation From Satellite Imagery D. Datta et al. https://doi.org/10.1109/TGRS.2026.3676356
49. Transformer-Guided Noise Detection and Correction in Remote Sensing Data for Enhanced Soil Organic Carbon Estimation M. Paul et al. https://doi.org/10.3390/rs17203463
50. Advancing perturbation space expansion based on information fusion for semi-supervised remote sensing image semantic segmentation L. Zhou et al. https://doi.org/10.1016/j.inffus.2024.102830
51. Application of the Landsat-8 Data Set and the Digital Elevation Model SRTM to Prediction Gold-Polymetallic Mineralization to the Central Part of the Malouralskaya Zone, the Polar Urals J. Ivanova & I. Nafigin https://doi.org/10.31857/S0205961423050056
52. A Non‐Dominated Sorting Genetic Algorithm‐II‐based approach to optimize the spectral and spatial quality of component substitution‐based pansharpened images V. Yilmaz https://doi.org/10.1002/cpe.6030
53. Performance Evaluation of Multiple Pan-Sharpening Techniques on NDVI: A Statistical Framework D. Beene et al. https://doi.org/10.3390/geographies2030027
54. Spatial Analysis on Gold Mineralization in Southwest Saqqez Using Point Pattern, Fry and Fractal Analyses M. Maanijou et al. https://doi.org/10.1134/S001685212004007X
55. Spatial and Spectral Analysis of Resampling Algorithms in Image Fusion of Optical and Microwave Satellite Images: A Case Study Over Western Himalayas R. Kaur et al. https://doi.org/10.1007/s12524-024-01912-3
56. Tectonic Analysis of Lineaments in the Gara Anticline, Kurdistan, Northern Iraq J. Doski https://doi.org/10.1007/s12524-019-00940-8
57. Forest Road Extraction via Optimized DeepLabv3+ and Multi-Temporal Remote Sensing for Wildfire Emergency Response Z. Gao et al. https://doi.org/10.3390/app16073228
58. Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia P. Fretwell et al. https://doi.org/10.1371/journal.pone.0222498
59. An Innovative Method of Monitoring Cotton Aphid Infestation Based on Data Fusion and Multi-Source Remote Sensing Using Unmanned Aerial Vehicles C. Ren et al. https://doi.org/10.3390/drones9040229
60. Model-based variational pansharpening method with fast generalized intensity–hue–saturation W. Li et al. https://doi.org/10.1117/1.JRS.13.036513
61. ŞAPHANE (ÇORUM) DAMAR TİPİ ALTIN CEVHERLEŞMESİNDE MULTİSPEKTRAL UYDU GÖRÜNTÜLERİ KULLANILARAK HİDROTERMAL ALTERASYON MİNERAL HARİTALAMASI VE ÇİZGİSELLİK ANALİZİ O. CANBAZ & E. ÇAKIR https://doi.org/10.17780/ksujes.1112817
62. Relevance of UAV and sentinel-2 data fusion for estimating topsoil organic carbon after forest fire D. Beltrán-Marcos et al. https://doi.org/10.1016/j.geoderma.2022.116290
63. Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach K. Phinzi et al. https://doi.org/10.3390/ijgi9040252
64. Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam P. Ha Tran et al. https://doi.org/10.1051/e3sconf/202562601005
65. Watch Out for the Tailings Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster D. Cheng et al. https://doi.org/10.3390/rs13091775
66. Prediction Perspective Areas for Gold Mineralization Using the Methods of Mathematical Information Processing and the Data Set of Remote Sensing Satellite Harmonized Landsat Sentinel-2 on the Polar Urals J. Ivanova & A. Bochneva https://doi.org/10.1134/S000143382470097X
67. Soil Aggregate Stability Mapping Using Remote Sensing and GIS-Based Machine Learning Technique Y. Bouslihim et al. https://doi.org/10.3389/feart.2021.748859
68. Influence of structural lineaments on drainage morphometry in Qorveh-Dehgolan basin, Kurdistan, Iran P. Sajadi et al. https://doi.org/10.1080/10106049.2019.1573927
69. Effects of Atmospheric Correction and Image Enhancement on Effective Plastic Greenhouse Segments Based on a Semi-Automatic Extraction Method Y. Yao & S. Wang https://doi.org/10.3390/ijgi11120585
70. Rimaal: A Sand Buried Structure of Possible Impact Origin in the Sahara: Optical and Radar Remote Sensing Investigation E. Ghoneim https://doi.org/10.3390/rs10060880
71. Göktürk-1 Uydu Görüntülerinin Pankeskinleştirme Performansının İncelenmesi A. ÜNAL & F. YILDIZ https://doi.org/10.29128/geomatik.731816
72. Integration of Satellite Data with High Resolution Ratio: Improvement of Spectral Quality with Preserving Spatial Details A. Sekrecka & M. Kedzierski https://doi.org/10.3390/s18124418
73. Automatic Shoreline Detection from Eight-Band VHR Satellite Imagery M. Alicandro et al. https://doi.org/10.3390/jmse7120459
74. From single- to multi-modal remote sensing imagery interpretation: a survey and taxonomy X. Sun et al. https://doi.org/10.1007/s11432-022-3588-0
75. A spatiotemporal transferable image fusion technique for GeoEye-1 satellite imagery M. Elshora https://doi.org/10.1007/s42401-023-00208-7
76. Machine learning based urban land cover classification using PolInSAR data: a study with ALOS-2 and RADARSAT-2 datasets L. Attri et al. https://doi.org/10.1007/s44288-024-00034-0
77. Fusing Ultra-Hyperspectral and High Spatial Resolution Information for Land Cover Classification Based on AISAIBIS Sensor and Phase Camera F. Qu et al. https://doi.org/10.1109/JSTARS.2023.3238467
78. Weighted differential evolution algorithm based pansharpening M. Günen https://doi.org/10.1080/01431161.2021.1976874
79. Performance evaluation of pansharpening Sentinel 2A imagery for informal settlement identification by spectral-textural features D. Matarira et al. https://doi.org/10.1080/0035919X.2022.2144538
80. Toward the optimal spatial resolution ratio for fusion of UAV and Sentinel-2 satellite imageries using metaheuristic optimization A. Toosi et al. https://doi.org/10.1016/j.asr.2025.02.019
81. Predicting Promising Areas for Gold Ore Mineralization Based on the Integration of Geological and Geophysical Information and Processing the Data Set of the Harmonized Landsat Sentinel-2 Remote Sensing Space Vehicle for the Northern End of the Eastern Slope of the Polar Urals Y. Ivanova https://doi.org/10.1134/S0001433825700252
82. Spatial resolution improvement of the multispectral satellite images in the absence of high spatial resolution images through integration of image fusion and deep learning methods H. Amini Amirkolaee et al. https://doi.org/10.61186/jgit.11.2.41
83. Land Use Recognition by Applying Fuzzy Logic and Object-Based Classification to Very High Resolution Satellite Images D. Perregrini & V. Casella https://doi.org/10.3390/rs16132273
84. Mutiscale Hybrid Attention Transformer for Remote Sensing Image Pansharpening W. Zhu et al. https://doi.org/10.1109/TGRS.2023.3239013
85. A Method of Panchromatic Image Modification for Satellite Imagery Data Fusion A. Grochala & M. Kedzierski https://doi.org/10.3390/rs9060639