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Fast Splicing of Land and Resources Images Based on UAV Remote Sensing Information
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Xuefeng GAI, Wei SUN, Chu GUAN
Science Technology and Industry | 2025, 25(5) : 44 - 48
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Science Technology and Industry | 2025, 25(5): 44-48
Technology Innovation
Fast Splicing of Land and Resources Images Based on UAV Remote Sensing Information
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Xuefeng GAI, Wei SUN, Chu GUAN
Affiliations
  • Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250102, China
Published: 2025-03-10
Outline
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In order to improve the accuracy and efficiency of land and resources mapping, a rapid land and resources image mosaic method based on UAV remote sensing information was proposed. Firstly, by estimating the height and angle of aerial photography, the land and resources mapping images with high accuracy were obtained. Then, the corresponding feature detection algorithm combined with BRIEF (binary robust independent elementary features)algorithm was used to describe the feature rotation invariance. Next, KNN (K-nearest neighbor) algorithm was used to match feature points to achieve precise extraction. Finally, the SPHP (shape-preserving half-projective warps for image stitching)algorithm was used for image fusion, and the image mosaic is completed. The experimental results show that the designed land and resources image rapid splicing method can realize accurate mapping of land and resources, ensure the mapping efficiency, and has certain application value.

unmanned aerial vehicle  /  remote sensing image  /  land resources  /  quick splicing
Xuefeng GAI, Wei SUN, Chu GUAN. Fast Splicing of Land and Resources Images Based on UAV Remote Sensing Information[J]. Science Technology and Industry, 2025 , 25 (5) : 44 -48 .
Year 2025 volume 25 Issue 5
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Article Info
  • Receive Date:2024-08-05
  • Online Date:2025-07-21
  • Published:2025-03-10
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  • Received:2024-08-05
Affiliations
    Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250102, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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