Texture and color based cloud detection
Web20 Apr 2024 · The accurate detection and segmentation of clouds is of great significance for identifying different weather systems, for meteorological forecasting, and for preventing natural disasters. Meteorological satellites can observe the cloud coverage on Earth from top to bottom. Satellite images are an important source of cloud data. Web19 Jun 2015 · The proposed method makes use of both color and texture characteristics of cloud regions. The image is divided into subimages in order to perform initial color and edge analysis. Further analysis is done by classifying patches as cloud and non-cloud with respect to texture based features.
Texture and color based cloud detection
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Web1 Jul 2024 · The proposed model is extensively trained on hundreds of globally distributed GF-5 satellite images and compared with current mainstream CNN-based detection networks. The experimental results indicate that our proposed method has a higher F1 score (0.94) and fewer parameters (7.83 M) than the compared methods. View Full-Text Web16 Jun 2015 · This work proposes a method of cloud classification using textural feature based on Gabor transform and classification is carried out using powerful and elegant …
Web台灣. 1. Research and develop the cloud-based and the mobile-based computer vision algorithms to care for human life. 2. Study and utilize the deep learning methods based on the caffe framework to build the surveillance system. 3. Develop a vision-based awake detection system by using a smart phone. Web13 Sep 2024 · In order to have the ability to detect the road in the majority of cases, the system combines the detection of a color-based road detector and texture line detector. Benefiting from the combination of the two detectors, the proposed road-following system is more suitable with small single lane roads, such as sidewalks, bikeways, parkways, etc.
Web13 Apr 2024 · NST works well as an augmentation method because the style transfer can introduce in a wide variety of textures when training classifiers using medical images (which often have more uniform color ... Web28 Aug 2024 · The 3D printing process lacks real-time inspection, which is still an open-loop manufacturing process, and the molding accuracy is low. Based on the 3D reconstruction theory of machine vision, in order to meet the applicability requirements of 3D printing process detection, a matching fusion method is proposed. The fast nearest neighbor …
Web22 Mar 2024 · Considering the fact that one source of information (color or texture) is not enough to segment cloud from clear sky, in this letter, we propose a novel ground-based cloud detection method using graph model (GM) built upon superpixels to integrate multiple sources of information.
WebIntelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection. Shadow regions inside video frames sometimes appear as foreground objects, interfere with ensuing processes, and finally degrade the event detection performance of … doctor chris truong dentist grand prairie txWeb31 May 2024 · However, these methods heavily rely on hand-crafted features, such as color, texture, and morphological features, to distinguish clouds from clear sky pixels. Recent years, with the development of deep learning, deep convolutional neural network (DCNN) methods have been rapidly developed and widely used for cloud detection from RS images. doctor christopher wilson reno nvWebEnhanced Training of Query-Based Object Detection via Selective Query Recollection ... BiasBed - Rigorous Texture Bias Evaluation ... GraVoS: Voxel Selection for 3D Point-Cloud Detection Oren Shrout · Yizhak Ben-Shabat · Ayellet Tal VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking ... doctor chuck gburWebDue to the considerable impact of clouds on the energy balance in the atmosphere and on the earth surface, they are of great importance for various applications in meteorology or remote sensing. An important aspect of the cloud research studies is the detection of cloudy pixels from the processing of satellite images. In this research, we investigated a … doctor claire birdsongWeb11 Oct 2024 · a general cloud detection algorithm for high resolution UAV images is proposed with higher accuracy and lower false detection rate for image cloud detection. … doctor chris yang swedishWeb1 Jan 2014 · The CCT contains two steps: converting red, green, and blue (RGB) values to opponent color space and applying census transform to each component. The CCT can capture texture and local structure information. Second, a novel automatic block assignment method is proposed that can capture global rough structure information. doctor claiborne taft caWeb9 May 2024 · In this study, we propose multilevel cloud detection (thin cloud, thick cloud, and cloud shadow) from Chinese high-resolution satellite imagery based on MCNNs. In … doctor christopher silveri