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Detecting Building Edges from High Spatial Resolution Remote Sensing Imagery Using Richer Convolution Features Network

Tingting Lu, Dongping Ming, Xiangguo Lin, Zhaoli Hong, Xueding Bai, Ju Fang
2018 Remote Sensing  
Inspired by the recent success of deep-learning-based edge detection, a building edge detection model using a richer convolutional features (RCF) network is employed in this paper to detect building edges  ...  Then, based on this dataset the RCF network is retrained.  ...  Compared to other deep-learning-based methods, superpixel-based method gain promising classification results. Gao et al.  ... 
doi:10.3390/rs10091496 fatcat:frhuazr2mjfbfb247vg5sjstwq

A New Method for Scene Classification from the Remote Sensing Images

Purnachand Kollapudi, Saleh Alghamdi, Neenavath Veeraiah, Youseef Alotaibi, Sushma Thotakura, Abdulmajeed Alsufyani
2022 Computers Materials & Continua  
This article presents a method that combines feature fusion and extraction methods with classification algorithms for remote sensing for scene categorization.  ...  In the last several years, the number of deep learning (DL) methods that have emerged has caused the creation of new approaches to remote sensing image classification to gain major breakthroughs, providing  ...  The extraction of features based on the architectures of RESNET-50, VGG-16, and Alexnet was then carried out. Based on the Multi-layer feature fusion model, this data has been merged (MFF).  ... 
doi:10.32604/cmc.2022.025118 fatcat:wnpbnmsirjem5mp3xukmtcp2fa

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

Zhanyu Ma, Sunwoo Kim, Pascual Martinez-Gomez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 IEEE Access  
., ''Deep learning based improved classification system for designing tomato harvesting robot,'' proposes an improved deep learning-based classification method that improves the accuracy and scalability  ...  The article by Sun et al., ''Common knowledge based and one-shot learning enabled multi-task traffic classification,'' proposes a multi-output DNN model to simultaneously learn multi-task traffic classifications  ...  In the article ''An artificial intelligence driven multi-feature extraction scheme  ... 
doi:10.1109/access.2020.3035461 fatcat:rt7ejtponrfexigie4cfpt7gd4

Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels

2017 Remote Sensing  
Deep Learning Feature Based Methods Recently, with the development of deep learning technology, lots of methods based on deep learning have been developed for image classification, such as deep brief network  ...  Related Work Based on the feature adopted in classification of HSI, the HSI classification method can be roughly divided into two categories, including the hand-crafted feature based methods and the deep  ...  According to the feature utilized, HSI classification methods can be roughly divided into hand-crafted feature based methods and the deep learning feature based methods.  ... 
doi:10.3390/rs9060618 fatcat:x5hbjc3gzfa6lji76v5x3hceqm