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Remote sensing image earth surface element recognition method combined with multi-temporal features and storage medium

A remote sensing image and recognition method technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of local area misclassification, limited accuracy and reliability, and low recognition accuracy, and achieve accurate recognition , Improve the stability and accuracy, the effect of high recognition accuracy

Active Publication Date: 2021-09-07
TONGJI UNIV
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Problems solved by technology

The accuracy and reliability of this method are limited by the imaging environment and image quality of single-phase image acquisition. When using this method to identify coverings, there may be serious errors in local areas due to local cloud and fog occlusion and building shadows. The phenomenon of points, resulting in low recognition accuracy

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  • Remote sensing image earth surface element recognition method combined with multi-temporal features and storage medium
  • Remote sensing image earth surface element recognition method combined with multi-temporal features and storage medium
  • Remote sensing image earth surface element recognition method combined with multi-temporal features and storage medium

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, 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 shall fall within the protection scope of the present invention.

[0049] Such as figure 1As shown, this embodiment provides a high-resolution remote sensing image typical surface feature recognition method MDFN (Multitemporal Deep Feature Fusion Network, MDFN), which is used to effectively learn the time-space-spectrum three-dimensionality of multi-temporal remote sensing images The significance and discriminative information of each dimension can reduce the mutation caused by the influence of external conditions on the ...

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Abstract

The invention relates to a remote sensing image surface element recognition method combined with multi-temporal features and a storage medium. The method comprises the following steps: 1, obtaining multi-temporal remote sensing image data; 2, respectively extracting time sequence correlation features and space-time spectrum three-dimensional discrimination features of the multi-temporal remote sensing image; step 3, performing cascade and batch normalization processing on the time sequence correlation features and the space-time spectrum three-dimensional discrimination features; 4, obtaining high-level semantic features through a full connection layer; and 5, classifying the high-level semantic features through a classifier to obtain a remote sensing image earth surface element recognition result. Compared with the prior art, the method has the advantages of high recognition precision, high accuracy, good stability and the like.

Description

technical field [0001] The invention relates to the technical field of typical surface element recognition, in particular to a high-resolution remote sensing image surface element recognition method combined with multi-temporal features and a storage medium. Background technique [0002] For high-resolution, especially ultra-high-resolution remote sensing image data, the spatial information of surface elements is highly detailed, and the corresponding types of typical surface elements are complex. However, the number of original spectral bands of high-resolution remote sensing images is limited, limited by the mutual constraints of the current sensor technology spectral resolution and spatial resolution, usually only have four multi-spectral bands of red light, green light, blue light and near-infrared, coupled with cloud cover The phenomenon of "same object with different spectrum" or "same spectrum with different object" is more serious due to the influence of factors such...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/044G06N3/045G06F18/2411G06F18/25G06F18/214
Inventor 柳思聪郑永杰赵慧冯毅金雁敏童小华杜谦谢欢冯永玖王超
Owner TONGJI UNIV
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