2020
DOI: 10.3390/ijgi9090543
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Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images

Abstract: Multi-stage intrusive complex mapping plays an important role in regional mineralization research. The similarity of lithology characteristics between different stages of intrusions necessitates the use of richer spectral bands, while higher spatial resolution is also essential in small-scale research. In this paper, a multi-source remote sensing data application method was proposed. This method includes a spectral synergy process based on statistical regression and a fusion process using Gram–Schmidt (GS) spe… Show more

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“…By automatically learning and extracting the features of remote sensing images, end-to-end classification learning is carried out, and each pixel in the images is assigned to its own category label. Compared with traditional methods, the depth combination of remote sensing spatial information and model algorithm has made great progress in remote sensing image classification, object detection, image semantic segmentation, and other application directions [5].…”
Section: Introductionmentioning
confidence: 99%
“…By automatically learning and extracting the features of remote sensing images, end-to-end classification learning is carried out, and each pixel in the images is assigned to its own category label. Compared with traditional methods, the depth combination of remote sensing spatial information and model algorithm has made great progress in remote sensing image classification, object detection, image semantic segmentation, and other application directions [5].…”
Section: Introductionmentioning
confidence: 99%