Abstract: A pipeline three-dimensional curve measuring robot and implementation method therefor. The measuring robot includes an electronic bin, sliding rods, wheel bracket, walking wheels arranged on wheel bracket, odometer wheels arranged on sliding rod on one side and encoders; the electronic bin is internally provided with an inertia measurement unit, collection control module and power supply module; when measuring, the measuring robot is controlled to move back and forth in a pipeline collecting measuring data; comparing measured data with three-dimensional curve data at pipeline reference moment to obtain deformation quantity of pipeline three-dimensional curve.

Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.

Abstract: A pipeline three-dimensional curve measuring robot and implementation method therefor. The measuring robot includes an electronic bin, sliding rods, wheel bracket, walking wheels arranged on wheel bracket, odometer wheels arranged on sliding rod on one side and encoders; the electronic bin is internally provided with an inertia measurement unit, collection control module and power supply module; when measuring, the measuring robot is controlled to move back and forth in a pipeline collecting measuring data; comparing measured data with three-dimensional curve data at pipeline reference moment to obtain deformation quantity of pipeline three-dimensional curve.

Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.