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Water body contour automatic extraction method and system based on full convolutional neural network

A neuron network and automatic extraction technology, applied in the field of coordinate fitting, can solve the problems of heavy efficiency and achieve the effect of strong scale robustness

Active Publication Date: 2021-05-14
ZHEJIANG INST OF SURVEYING & MAPPING SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

In the production of various topographic maps and thematic maps, cartographers need to manually outline various contours of water bodies on satellite or aerial images, which is obviously a relatively heavy and inefficient work

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  • Water body contour automatic extraction method and system based on full convolutional neural network
  • Water body contour automatic extraction method and system based on full convolutional neural network
  • Water body contour automatic extraction method and system based on full convolutional neural network

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Embodiment Construction

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0060] It should also be understood that the terminology used ...

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Abstract

The invention relates to a water body contour automatic extraction method and system based on a full convolutional neural network. The water body contour automatic extraction method comprises the following steps: respectively constructing a training sample library and an image prediction library; iteratively training the training sample library through a multi-receptive field feature combined full convolutional network to obtain a network model; and performing water body contour extraction on an image prediction library by using the network model to obtain a surface water body contour extraction result, wherein the training sample library is constructed by surface images and water body annotation data, and the image prediction library is constructed by surface images. The multi-receptive-field feature combined full convolutional neural network is high in scale robustness, can adapt to water extraction of high-resolution remote sensing images of different scales under different complex conditions, and can realize continuous iterative optimization.

Description

technical field [0001] The present invention relates to a coordinate fitting method, and more specifically refers to a method and system for automatically extracting water contours based on a fully convolutional neural network. Background technique [0002] Water body extraction is of great significance for applications such as water resource monitoring, natural disaster assessment, and environmental protection, and the use of remote sensing technology to obtain surface information is the most commonly used technical means. Traditional methods mainly include band threshold method, supervised classification method, water body index method, and spectral relationship method. For water body recognition, little attention is paid to the shape, size, texture, edge, semantics, shadow and other characteristics of the water body, which seriously affects the accuracy of water body extraction. In addition, for massive remote sensing data processing, traditional methods generally have l...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06V10/44G06N3/045
Inventor 余华芬季顺平顾春墚聂晨晖张志力
Owner ZHEJIANG INST OF SURVEYING & MAPPING SCI & TECH
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