High-resolution remote sensing image house extraction method based on morphological house indexes

A technology based on morphology and remote sensing images, applied in image analysis, image data processing, instruments, etc., can solve problems such as low degree of automation and inability to obtain high precision, and achieve the effect of improving extraction accuracy

Inactive Publication Date: 2014-08-13
WUHAN UNIV
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Problems solved by technology

[0010] The traditional house extraction method cannot achieve high accuracy in actual classification, and also needs to add

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  • High-resolution remote sensing image house extraction method based on morphological house indexes
  • High-resolution remote sensing image house extraction method based on morphological house indexes
  • High-resolution remote sensing image house extraction method based on morphological house indexes

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Embodiment Construction

[0061] Houses on high-resolution remote sensing images have the following basic characteristics:

[0062] (1) Contrast and brightness:

[0063] The roof directly receives sunlight and generally has a relatively high brightness; at the same time, considering the shadow of the house caused by sunlight, the contrast between the roof and the surrounding is also high.

[0064] (2) Shape:

[0065] On remote sensing images, houses usually appear as rectangular structures with a certain spatial range.

[0066] (3) Size:

[0067] Houses have multiple scales, but the size is generally within a certain scale range.

[0068] (4) Direction:

[0069] Houses have isotropic characteristics relative to roads, so directionality can be used to distinguish houses from roads.

[0070] The present invention constructs a morphological house index according to the basic characteristics of the above houses, so as to realize the extraction of houses in remote sensing images, and the specific proce...

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Abstract

The invention discloses a high-resolution remote sensing image house extraction method based on morphological house indexes. The morphological house indexes are constructed on the basis of the morphological algorithm according to the characteristics of high brightness, isotropy and similar rectangle degree of a house on a high-resolution remote sensing image, and a remote sensing image house is automatically extracted according to the morphological house indexes. On this basis, morphological shadow indexes are derived from the morphological house indexes according to similar spatial characteristics and opposite optical characteristics of a shadow and the house, house extraction is restrained through the morphological shadow indexes, and consequently the accuracy degree of house extraction is further optimized. According to the high-resolution remote sensing image house extraction method based on the morphological house indexes, manual segmentation and artificial training are not needed, full-automatic extraction of the remote sensing image house can be achieved; the morphological shadow indexes are added for restraint, the accuracy degree and the similar rectangle degree of house extraction can be obviously improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to a high-resolution remote sensing image house extraction method based on morphological house index. Background technique [0002] The automatic extraction of buildings is mainly based on the basic features and prior knowledge of the image. However, due to the lack of information when the two-dimensional image expresses the three-dimensional scene, the automatic extraction technology is not mature and is still in the research and exploration stage. [0003] At present, the building extraction methods mainly include: (1) extraction method based on region segmentation, (2) extraction method based on multi-source data fusion and (3) object-oriented extraction method. [0004] (1) Extraction method based on region segmentation [1] [0005] The method is to gather spatially related pixels into homogeneous objects and ensure that the objects are homogeneous in s...

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 黄昕
Owner WUHAN UNIV
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