Remote sensing image-based surface feature recognition and coverage rate calculation method and system

The embodiment of the invention provides a remote sensing image-based surface feature recognition and coverage rate calculation method, a system, equipment, and a computer readable storage medium. Themethod comprises the following steps: carrying out resolution improvement preprocessing on a satelli...

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1. Verfasser: LIU SHUAIPU
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention provides a remote sensing image-based surface feature recognition and coverage rate calculation method, a system, equipment, and a computer readable storage medium. Themethod comprises the following steps: carrying out resolution improvement preprocessing on a satellite remote sensing image; inputting the preprocessed remote sensing image into a pre-trained deep convolutional neural network model to obtain a ground object segmentation result; calculating a ground object coverage rate according to the ground object segmentation result; wherein the resolution improvement preprocessing comprises the steps of inputting the remote sensing image into a pre-trained generative adversarial network model, and outputting a corresponding super-resolution remote sensingimage. In this way, only one color three-channel satellite remote sensing image is needed to carry out super-resolution processing to realize resolution improvement; and a more accurate ground objectidentification and coverag