5 results about "High spatial resolution" patented technology

The invention relates to a hyperspectral high spatial resolution integral view field spectral imaging system used for underwater detection, and solves the problems that the view field acquired by theconventional micro-lens array spectral imaging method is small, high spatial resolution under large view field cannot be realized and only narrow view field detection under the condition of accurate wavelength selection can be realized. The imaging system comprises a sealed box, a front telescope system, a beam splitter, a first imaging lens group, a grayscale detector, a first collimating lens group, a micro-lens array unit, a second imaging lens group, a diffraction grating and a spectrum detector. The light through the front telescope system enters the beam splitter, wherein one path of light maintains the original incident direction to transmit and one path of light spreads in the direction perpendicular to the incident direction. The first imaging lens group collects the target lightperpendicular to the incident direction and forms an image to the grayscale detector. The first collimating lens group, the micro-lens array unit, the second imaging lens group, the diffraction grating and the spectrum detector are arranged in turn. The first collimating lens group collimates the light transmitting along the incident direction.

The invention discloses a method for improving accuracy in extraction of lake surface area by low-space-resolution remote sensing images. The method includes the steps: collecting multi-time-phase low-space-resolution remote sensing images of an area where a lake is located, and extracting lake surface area; collecting high-space-resolution remote sensing images similar to the low-space-resolution images in acquiring data as many as possible, and selecting a water body recognition method to extract lake surface area; analyzing lake surface area extracted by two same-time-phase remote sensing images, judging whether a relation between two lake surface areas needs to be segmented or not, if yes, calculating parameters according to area data in each segment, and if not, calculating parameters according to all area data; establishing a correction formula for segmentation according to the parameters acquired by calculation; for lake surface area extracted by low-space-resolution images of other time phases, judging the segment in which the lake surface area is positioned, and correcting the lake surface area according to the corresponding correction formula. By the method, accuracy in extraction of the lake surface area by the low-space-resolution remote sensing images can be improved effectively.

The invention relates to a method for extracting buildings with uniform spectral characteristics from remote sensing images. The method includes the following steps: firstly, utilizing a likelihood function of total variation of neighborhoods to calculate a value LS of each pixel inputted into the remote sensing images; secondly, performing binarization processing; thirdly, performing marking; fourthly, calculating the center of mass of a marked region; fifthly, performing region growing segmentation; sixthly, performing preliminary building extraction; seventhly, acquiring a segmentation object sequence S; eighthly, selecting a training sample; ninthly, extracting texture feature information; tenthly, performing classification. The problem of low accuracy of building extraction in high-spatial-resolution remote sensing images is solved, full automation is achieved, and the method is used for data acquisition and automatic updating of remote sensing image mapping and geographic information systems.