Search Results - "IEEE geoscience and remote sensing letters"

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images by Fang, Sheng, Li, Kaiyu, Shao, Jinyuan, Li, Zhe

“…Change detection is an important task in remote sensing (RS) image analysis. It is widely used in natural disaster monitoring and assessment, land resource…”
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HybridSN: Exploring 3-D-2-D CNN Feature Hierarchy for Hyperspectral Image Classification by Roy, Swalpa Kumar, Krishna, Gopal, Dubey, Shiv Ram, Chaudhuri, Bidyut B.

“…Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images…”
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Road Extraction by Deep Residual U-Net by Zhang, Zhengxin, Liu, Qingjie, Wang, Yunhong

“…Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural…”
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Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model by Liu, Yi, Pang, Chao, Zhan, Zongqian, Zhang, Xiaomeng, Yang, Xue

“…In recent years, building change detection methods have made great progress by introducing deep learning, but they still suffer from the problem of the…”
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Random and Coherent Noise Suppression in DAS-VSP Data by Using a Supervised Deep Learning Method by Dong, Xintong, Li, Yue, Zhong, Tie, Wu, Ning, Wang, Hongzhou

“…Distributed fiber-optical acoustic sensing (DAS) is a new and booming technology in seismic exploration. DAS technology has been gradually applied to the…”
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Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data by Kussul, Nataliia, Lavreniuk, Mykola, Skakun, Sergii, Shelestov, Andrii

“…Deep learning (DL) is a powerful state-of-the-art technique for image processing including remote sensing (RS) images. This letter describes a multilevel DL…”
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A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window by Han, Jinhui, Moradi, Saed, Faramarzi, Iman, Liu, Chengyin, Zhang, Honghui, Zhao, Qian

“…Local contrast has been proved efficient for infrared (IR) small-target detection. However, current algorithms do not enhance true target purposefully before…”
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Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images by Lin, Zhao, Ji, Kefeng, Leng, Xiangguang, Kuang, Gangyao

“…Synthetic aperture radar (SAR) ship detection is an important part of marine monitoring. With the development in computer vision, deep learning has been used…”
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Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure by Han, Jinhui, Moradi, Saed, Faramarzi, Iman, Zhang, Honghui, Zhao, Qian, Zhang, Xiaojian, Li, Nan

“…In this letter, a weighted strengthened local contrast measure (WSLCM) algorithm for infrared (IR) small target detection is proposed, it consists of two…”
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Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images by Cheng, Gong, Si, Yongjie, Hong, Hailong, Yao, Xiwen, Guo, Lei

“…For the time being, there are many groundbreaking object detection frameworks used in natural scene images. These algorithms have good detection performance on…”
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Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network by Wei, Yancong, Yuan, Qiangqiang, Shen, Huanfeng, Zhang, Liangpei

“…In the field of multispectral (MS) and panchromatic image fusion (pansharpening), the impressive effectiveness of deep neural networks has recently been…”
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Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images by Zhan, Yang, Fu, Kun, Yan, Menglong, Sun, Xian, Wang, Hongqi, Qiu, Xiaosong

“…In this letter, we propose a novel supervised change detection method based on a deep siamese convolutional network for optical aerial images. We train a…”
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Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution by Cai, Weiwei, Wei, Zhanguo

“…An attention mechanism assigns different weights to different features to help a model select the features most valuable for accurate classification. However,…”
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SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images by Li, Haifeng, Qiu, Kaijian, Chen, Li, Mei, Xiaoming, Hong, Liang, Tao, Chao

“…High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic…”
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Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification by Qin, Anyong, Shang, Zhaowei, Tian, Jinyu, Wang, Yulong, Zhang, Taiping, Tang, Yuan Yan

“…Collecting labeled samples is quite costly and time-consuming for hyperspectral image (HSI) classification task. Semisupervised learning framework, which…”
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Deep Learning Based Feature Selection for Remote Sensing Scene Classification by Zou, Qin, Ni, Lihao, Zhang, Tong, Wang, Qian

“…With the popular use of high-resolution satellite images, more and more research efforts have been placed on remote sensing scene classification/recognition…”
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Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images by Li, Rui, Zheng, Shunyi, Duan, Chenxi, Su, Jianlin, Zhang, Ce

“…The attention mechanism can refine the extracted feature maps and boost the classification performance of the deep network, which has become an essential…”
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S²ENet: Spatial-Spectral Cross-Modal Enhancement Network for Classification of Hyperspectral and LiDAR Data by Fang, Sheng, Li, Kaiyu, Li, Zhe

“…The effective utilization of multimodal data (e.g., hyperspectral and light detection and ranging (LiDAR) data) has profound implications for further…”
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A Fast and Compact 3-D CNN for Hyperspectral Image Classification by Ahmad, Muhammad, Khan, Adil Mehmood, Mazzara, Manuel, Distefano, Salvatore, Ali, Mohsin, Sarfraz, Muhammad Shahzad

“…Hyperspectral images (HSIs) are used in a large number of real-world applications. HSI classification (HSIC) is a challenging task due to high interclass…”
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Infrared Small Target Detection Utilizing the Multiscale Relative Local Contrast Measure by Han, Jinhui, Liang, Kun, Zhou, Bo, Zhu, Xinying, Zhao, Jie, Zhao, Linlin

“…Infrared (IR) small target detection with high detection rate, low false alarm rate, and high detection speed has a significant value, but it is usually very…”
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