12 results about "Spatial quality" patented technology

The application relates to a multispectral and panchromatic image fusion spatial quality evaluation method based on a region convolution network, which improves the processing process of a fused image and a panchromatic image in a traditional region-based multispectral image and panchromatic image fusion spatial quality evaluation method. The spatial features of region images in the original fused image and the panchromatic image are directly extracted by using a GoogLeNet network, instead of performing gray image conversion and discrete cosine transformation on the fused image. The spatial information loss of the image is effectively avoided, and meanwhile, the deep features with stronger representation ability and generalization ability are extracted, so that the spatial quality of a fusion result is evaluated at a feature level. Finally, an intuitive spatial quality distribution map is obtained to represent the spatial quality of local regions of the fusion result.

The invention relates to a satellite hyperspectral remote sensing image generation comprehensive quality evaluation system and method, and the method comprises the steps: constructing a comprehensive quality evaluation system which comprises a spectrum quality evaluation index, a space quality evaluation index and a texture quality evaluation index; and calculating the importance of overall evaluation results of spectrum, space and texture, and weighting to obtain an image reconstruction quality score. The method has the beneficial effects that the image quality evaluation precision is greatly improved, and reliable support is provided for subsequent application.

The application provides a kind of urban dissipative space discrimination method and system based on spatial aggregation characteristics, it is related to spatial quality measure technical field.The urban dissipative space discrimination method based on spatial aggregation characteristics, comprising: obtaining city basic geographic space data and its geographic coordinates, form city space information integrated platform;According to the pre-set city dissipative space determination index library, the basic characteristic element data of city dissipative space is calculated, and the basic characteristic element data of city dissipative space is loaded into city space information integrated platform for spatial positioning calibration;Select appropriate grid scale to divide measure area;Each characteristic element data in grid unit is graded assignment;The order of city space is measured to calculate the aggregation;Establish determination rule to obtain four kinds of dissipative space characteristic element data set.The application improves the accuracy and efficiency of city dissipative space identification, and provides targeted guidance and power point for city renewal design and decision control.

This application relates to the field of smart city technology, and in particular to a method, electronic device, readable storage medium, and computer program product for the dynamic configuration of urban service facilities based on multi-source data. The method includes acquiring multi-source data of a target area; generating a human-scale spatial quality score based on dynamically sensed data, obtaining the spatiotemporal distribution characteristics of residents' activities, and calculating the coupling coordination degree between residents' behavior and the spatial environment; constructing an index system of built environment influencing factors at the urban scale based on static spatial data, and identifying key factors and their impact thresholds affecting spatial quality using the human-scale spatial quality score as the target variable; delineating service areas of different levels of living circles based on the spatiotemporal distribution characteristics of residents' activities, coupling coordination degree, key factors, and impact thresholds, and generating optimized configuration schemes and dynamic allocation instructions for public service facilities. This enables quantitative diagnosis of spatial quality and dynamic optimization of facility configuration.

With the growth of the construction industry and a focus on improving the quality of life in architecture, there is an increasing need for a system to measure the optimal environmental quality of spaces for all users. This is particularly important in today's busy urban life, where factors such as traffic and noise can impact people's well-being. While existing environmental measurement systems can assess many indicators separately, there is currently no comprehensive solution for measuring indicators such as light color, the golden ratio, spatial geometry, and environmental color in architectural spaces. Therefore, this invention is a system to measure all these components for enhancing the comfort and mental well-being of occupants. It measures the crucial indicators such as air quality, tempreture, humidity, sounds, lights, and other features of the place, takes pictures of them and processes them, and also makes suggestions.

The application discloses a kind of limited space quality detection methods based on multi-modal edge cloud transmission, belong to industrial manufacturing and quality detection technical field, innovatively fusion head-mounted camera, flexible hole detection equipment, step gap detection equipment, build millimeter three-dimensional space perception network, cover personnel accessible and inaccessible area, solve the problem of limited vision of traditional manual detection.Detection equipment as data transfer station, real-time processing multi-modal data (video stream, measurement data, voice), realize high-resolution video local decoding and wrist terminal real-time display by FFmpeg technology.CBAM attention mechanism is introduced in the neck part of YOLOv8, and the scratch feature representation is enhanced by channel and spatial attention weighting;SIoU loss function is used instead of traditional IoU, considering the overlapping area, center distance and aspect ratio of the predicted box and the real box, which significantly improves the detection rate of micro-defects.

This invention relates to the technical field of artificial intelligence and urban design, and in particular to an intelligent evaluation method and system for community fitness spaces based on artificial intelligence algorithms. The method includes the following steps: acquiring three-dimensional spatial data, constructing a multivariate dataset, and establishing a three-dimensional model of the fitness space; identifying and disassembling digital assets of the fitness space; restructuring the fitness space assets; and training a benchmark evaluation model for the fitness space; and constructing an intelligent evaluation model for the fitness space. This invention proposes an intelligent evaluation method and system for community fitness spaces using artificial intelligence algorithms in spatial quality assessment. It provides an innovative research framework for the scientific planning and optimized layout of community fitness space construction. This invention is applicable to the quality evaluation of fitness spaces during the design phase, allowing for pre-assessment of spatial quality. Based on the assessment results, targeted design measures can be implemented, reducing subsequent maintenance costs.

The application provides a video super-resolution method and system based on a diffusion model, which comprises the following steps: inputting a video calibration dataset into a pre-trained full-precision diffusion model, performing an inference process, and collecting model running data as calibration data by using a callback function at runtime; determining the contribution degree or sensitivity index of each network layer in the full-precision diffusion model based on the calibration data; performing layer-by-layer quantization resource allocation and federal optimization on the full-precision diffusion model according to the calibration data and the contribution degree or sensitivity index, generating and saving quantization parameters; loading the quantization parameters, performing light-weight inference processing on a low-quality video, reconstructing video details, and obtaining a super-resolution recovery result. The application can still successfully recover a high-resolution video from a low-resolution video in a low-bit quantization scene, and has significant advantages in spatial quality, structural consistency, detail texture recovery and the like compared with other low-bit quantization methods.

The invention discloses a landscape space quality assessment method and device, a terminal and a medium, and relates to the field of landscape visual analysis, and the method comprises the steps: determining an original scene point cloud according to the three-dimensional point cloud data of a to-be-assessed region; carrying out segmentation and vegetation structure extraction on the original scene point cloud, and determining each segmented scene point cloud; converting the segmented scene point clouds into voxel grids, determining the segmented scene point clouds, and extracting voxel related indexes based on the segmented scene point clouds; performing three-dimensional visual simulation on each segmented scene point cloud, and calculating visual related indexes; and determining a landscape quality evaluation result according to the voxel related indexes and the visual related indexes. According to the method, the voxel related indexes and the visual related indexes are extracted based on the three-dimensional point cloud data of the to-be-evaluated area to perform landscape quality evaluation, so that the problem that the visual landscape quality of an ecological space cannot be accurately evaluated due to the fact that a three-dimensional ecological structure cannot be captured and the expression ability of an ecological process is limited in the prior art can be effectively solved.

The invention provides an intelligent house resource inspection method and system based on computer vision and multi-sensor fusion, and belongs to the field of intelligent house inspection. The method comprises the following steps: acquiring multi-modal perception data such as a visual image, a three-dimensional point cloud, environmental parameters and equipment operation, performing space-time registration and feature fusion, and constructing a multi-dimensional house inspection feature set; in combination with defect identification and parameter deviation analysis, establishing a spatial quality coupling model, mining cross-modal relevance, and generating a defect risk mapping network; a dynamic defect prediction model is introduced to predict and evaluate the defect evolution trend and deterioration degree, and a housing resource quality risk map is formed; establishing a multi-dimensional quality evaluation system, realizing comprehensive grade evaluation of the risk map, and outputting a structure test room report; and rectification decision suggestions are generated based on the report, and on-site real-time early warning and scheme pushing are realized in combination with edge calculation, so that automation, intelligence and perspectiveness of the house inspection process are realized, and the detection precision, the risk pre-judgment capability and the management efficiency are improved.