A Convolutional Neural Network Based Multispectral Remote Sensing Image Dehazing Method
A convolutional neural network and multispectral image technology, applied in the field of remote sensing image processing
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[0074] In order to better understand the technical solution of the present invention, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings:
[0075] The flow chart of the present invention is as figure 1 shown. The computer configuration adopts: Intel Core i5-6600k processor, Nvidia GeForce GTX 1080 graphics processor, main frequency 3.5GHz, memory 16GB, operating system is ubuntu 16.04. The implementation of the dehazing method is based on the Caffe toolkit. The present invention is a multispectral image defogging method based on a convolutional neural network, specifically comprising the following steps:
[0076] Step 1: Multispectral image dehazing band selection
[0077] The invention adopts the multispectral remote sensing image data collected by the landsat8OLI sensor. The Landsat8OLI image includes 9 bands, among which the coastal band, visible light band (blue band, green band, red band), near-infrar...
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