Results 31 to 40 of about 352,126 (198)

Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain

Remote Sensing, 2021
High spatial quality (HQ) optical remote sensing images are very useful for target detection, target recognition and image classification. Due to the influence of imaging equipment accuracy and atmospheric environment, HQ images are difficult to acquire,
Xubin Feng, Wuxia Zhang, Xiuqin Su, Zhengpu Xu   +3 more
doaj   +1 more source

A Multi-scale features-based cloud detection method for Suomi-NPP VIIRS day and night imagery [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Cloud detection is a necessary step before the application of remote sensing images. However, most methods focus on cloud detection in daytime remote sensing images.
J. Li, C. Hu, Q. Sheng, J. Xu, C. Zhu, W. Zhang   +5 more
doaj   +1 more source

RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning

Remote Sensing, 2022
Maps can help governments in infrastructure development and emergency rescue operations around the world. Using adversarial learning to generate maps from remote sensing images is an emerging field.
Jieqiong Song, Jun Li, Hao Chen, Jiangjiang Wu   +3 more
doaj   +1 more source

A New Search Algorithm for Feature Selection in Hyperspectral Remote Sensing Images [PDF]

, 2001
A new suboptimal search strategy suitable for feature selection in very high-dimensional remote-sensing images (e.g. those acquired by hyperspectral sensors) is proposed.
Bruzzone, Lorenzo, Serpico, Sebastiano B.   +1 more
core   +2 more sources

A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing

Remote Sensing, 2022
At present, with the advance of satellite image processing technology, remote sensing images are becoming more widely used in real scenes. However, due to the limitations of current remote sensing imaging technology and the influence of the external ...
Xuan Wang, Jinglei Yi, Jian Guo, Yongchao Song, Jun Lyu, Jindong Xu, Weiqing Yan, Jindong Zhao, Qing Cai, Haigen Min   +9 more
doaj   +1 more source

An interpretable approach for automatic aesthetic assessment of remote sensing images

Frontiers in Computational Neuroscience, 2022
The increase of remote sensing images in recent decades has resulted in their use in non-scientific fields such as environmental protection, education, and art.
Jingru Tong, Guo Zhang, Peijie Kong, Yu Rao, Zhengkai Wei, Hao Cui, Qing Guan   +6 more
doaj   +1 more source

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

, 2017
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds.
Cheng, Qing, Li, Xinghua, Li, Zhiwei, Shen, Huanfeng, Zhang, Chengyue   +4 more
core   +1 more source

Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets [PDF]

, 2016
The number of clusters (i.e., the number of classes) for unsupervised classification has been recognized as an important part of remote sensing image clustering analysis.
Dale, Patricia, Ding, Xiaohui, Li, Huapeng, Zhang, Ce, Zhang, Shuqing   +4 more
core   +3 more sources

Determining class proportions within a pixel using a new mixed-label analysis method [PDF]

, 2010
Land-cover classification is perhaps one of the most important applications of remote-sensing data. There are limitations with conventional (hard) classification methods because mixed pixels are often abundant in remote-sensing images, and they cannot be
Li, X, Liu, X, Zhang, X
core   +1 more source

Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering

Journal of Spectroscopy, 2020
In order to improve the change detection accuracy of multitemporal high spatial resolution remote-sensing (HSRRS) images, a change detection method of multitemporal remote-sensing images based on saliency detection and spatial intuitionistic fuzzy C ...
Liang Huang, Qiuzhi Peng, Xueqin Yu
doaj   +1 more source