image registration is a basic problem in image analysis and imageprocessing. image registration has important applications in aerial image fusion, patternrecognition, three-dimensional reconstruction and other field...
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remotesensing information processing plays an important role in many fields such as environmental protection, urban planning, military reconnaissance and so on. However, there are problems in remotesensingimages su...
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ISBN:
(数字)9798350350890
ISBN:
(纸本)9798350350906
remotesensing information processing plays an important role in many fields such as environmental protection, urban planning, military reconnaissance and so on. However, there are problems in remotesensingimages such as complex background, large size change, small target, etc. A remotesensingimage target detection algorithm to improve YOLOv5 is proposed. Using a certain percentage of data enhancement technology at the input side to enrich the data features and improve the model generalization ability and robustness; for the problem of small targets in remotesensingimages, SPD-Conv module is added to reduce the loss of fine-grained information and improve the detection performance of small targets; the design uses the DCNv2 module to replace part of the neck structure of the C3 layer, which breaks through the limitation of traditional convolution and improves the feature extraction ability of the network in remotesensingimages. Experimental results show that the improved YOLOv5 model improves the detection accuracy by 3.9%.
Monitoring the Land Use/Land Cover (LULC) changes in this present era has become the most demanding task and it is very crucial for planning, proper resource management, regulating the expansion in the fringe areas in...
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ISBN:
(数字)9783031281839
ISBN:
(纸本)9783031281822;9783031281839
Monitoring the Land Use/Land Cover (LULC) changes in this present era has become the most demanding task and it is very crucial for planning, proper resource management, regulating the expansion in the fringe areas in the existing cities, etc. Now the collection of reliable data has become easier as the hyperspectral images captured by various remotesensing satellites are readily available in different spatial and spectral resolutions. processing this data according to the Region of Interest (ROI) in order to extract meaningful information is challenging. The most crucial part of this process is to identify various land covers very accurately. Only an automatic classification provides a feasible solution, as the manual process is tedious, expensive, and time-consuming. This paper compares two different image classification algorithms in classifying the covers, which can be utilized for land use and land cover changing pattern analysis in the Varanasi district of India. The experiments were carried out with the two most popular classification algorithms, namely: The Maximum Likelihood classifier and the Minimum Distance classifier. The overall accuracy and kappa co-Efficient values computed are 41.67 and 0.12 for the Minimum Distance Classifier and 82.43 and 0.78 for the Maximum Likelihood Classifier. It has been observed that the Maximum Likelihood Classifier outperforms the Minimum Distance Classifier.
Jose Manuel Bioucas-Dias was an outstanding expert in many different IEEE-related areas, including inverse problems in imaging, signal and imageprocessing, patternrecognition, optimization, and remotesensing. He au...
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ISBN:
(纸本)9781665403696
Jose Manuel Bioucas-Dias was an outstanding expert in many different IEEE-related areas, including inverse problems in imaging, signal and imageprocessing, patternrecognition, optimization, and remotesensing. He authored or co-authored more than 250 publications, including more than 100 journal papers (66 of which published in IEEE journals) and over 200 peer-reviewed international conference papers and book chapters. His contributions have been extremely influential in many different fields, namely phase estimation and unwrapping, convex optimization and Bayesian inference for imaging inverse problems, with a special emphasis on remotesensing, including synthetic aperture radar (SAR), hyperspectral unmixing, fusion, superresolution, classification, and segmentation. In this paper, we provide an overview of his outstanding contributions to remotesensingimageprocessing.
In the era of foundational image segmentation models, there is a pressing need to leverage the outputs of these models and enhance the boundary accuracy of domain-specific segmentation results using lightweight post-p...
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A robust feature extraction method based on feature transfer for heterogeneous remotesensingimages is proposed to address the problem of insufficient generalization ability of traditional edge feature extraction met...
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The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Ap...
ISBN:
(纸本)9789819791279
The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Application and Effect Evaluation of Product Innovation Management Based on Deep Learning;study on Deep Learning-Based Personalised Product Recommendation Model for Autonomous Question-and-Answer Robot;application of image Watermarking Technology Based on Deep Learning in Copyright Protection;research on the Combination of Building Structural Health Monitoring and Deep Learning imageprocessing;electrical Equipment Prediction in a Variable Electromagnetic Field Using Deep Learning;state Monitoring and Fault Prediction of Wind Farm Transmission and Transformation Equipment Based on Deep Learning;application of Deep Learning Algorithms in the Innovation Ecosystem of Electric Power;optimization Strategy for Inventory Management Based on Machine Learning;intelligent Design and Evaluation of Aging Adaptable Public Spaces Based on Deep Learning;performance Optimization and Acceleration of Machine Learning Algorithms in Task Allocation of Mine Maintenance Robots;Application of Deep Learning to Improve the Performance of Automotive Electronic Control Unit (ECU);deep Learning-Based Scene Classification for remotesensingimages;Improved Swarm Intelligence Optimization Algorithm Based on SL-Relu Activation Function Improvement Strategy and Its Application in Price Forecasting;Automatic Segmentation of Traumatic Penumbra in Rat Brain Based on Improved UNet++;A Brain Tumor Classification Method Based on ResNeXt-SESA Network;A LSTM Algorithm for Coastal City Cultural Scene Value Sustainable Development Forecast Improvement;patternrecognition in Archive Analysis Using Data Mining;building Crack Detection Method Based on Convolutional Neural Network.
The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Ap...
ISBN:
(纸本)9789819791231
The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Application and Effect Evaluation of Product Innovation Management Based on Deep Learning;study on Deep Learning-Based Personalised Product Recommendation Model for Autonomous Question-and-Answer Robot;application of image Watermarking Technology Based on Deep Learning in Copyright Protection;research on the Combination of Building Structural Health Monitoring and Deep Learning imageprocessing;electrical Equipment Prediction in a Variable Electromagnetic Field Using Deep Learning;state Monitoring and Fault Prediction of Wind Farm Transmission and Transformation Equipment Based on Deep Learning;application of Deep Learning Algorithms in the Innovation Ecosystem of Electric Power;optimization Strategy for Inventory Management Based on Machine Learning;intelligent Design and Evaluation of Aging Adaptable Public Spaces Based on Deep Learning;performance Optimization and Acceleration of Machine Learning Algorithms in Task Allocation of Mine Maintenance Robots;Application of Deep Learning to Improve the Performance of Automotive Electronic Control Unit (ECU);deep Learning-Based Scene Classification for remotesensingimages;Improved Swarm Intelligence Optimization Algorithm Based on SL-Relu Activation Function Improvement Strategy and Its Application in Price Forecasting;Automatic Segmentation of Traumatic Penumbra in Rat Brain Based on Improved UNet++;A Brain Tumor Classification Method Based on ResNeXt-SESA Network;A LSTM Algorithm for Coastal City Cultural Scene Value Sustainable Development Forecast Improvement;patternrecognition in Archive Analysis Using Data Mining;building Crack Detection Method Based on Convolutional Neural Network.
In view of the characteristics of high score remotesensing data containing rich semantic information, combined with different processing requirements for high-score remotesensingimages, this paper designs and imple...
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This paper proposes a method for fast construction of the entropy field calculated in a sliding local window. The method is based on the representation of the local histogram by a truncated series using cosine basis f...
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