Results 211 to 220 of about 12,167 (257)

LFODet: Lightweight Few-Shot Object Detection with Meta-Learning in Remote Sensing Images. [PDF]

Sensors (Basel)
Wu H, Fang X, Xiong H, Yang X.
europepmc   +1 more source

Advanced Remote Sensing and AI Techniques in Agriculture and Forestry. [PDF]

Plants (Basel)
Wang RF, Cui K.
europepmc   +1 more source

Remote sensing for monitoring and managing Eichhornia crassipes: a review of methods, applications, and decision-support frameworks. [PDF]

Environ Monit Assess
Salim DHC, Mello CCS, Pereira G, Maretto RV, Amorim CC.   +4 more
europepmc   +1 more source

Empowering rural governance with digital technology: Deep learning models for automated detection of rural buildings using remote sensing images. [PDF]

PLoS One
Zhong J, Xie Y, Li L, Shi C.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A review of remote sensing image fusion methods

Information Fusion, 2016
The recent years have been marked by continuous improvements of remote sensors with applications like monitoring and management of the environment, precision agriculture, security and defense. On the one hand, the high spectral resolution is necessary for an accurate class discrimination of land covers. On the other hand, the high spatial resolution is
Hassan Ghassemian
exaly   +2 more sources

Remote sensing image classification using subspace sensor fusion

Information Fusion, 2020
Abstract The amount of remote sensing and ancillary datasets captured by diverse airborne and spaceborne sensors has been tremendously increased, which opens up the possibility of utilizing multimodal datasets to improve the performance of processing approaches with respect to the application at hand. However, developing a generic framework with high
Behnood Rasti, Pedram Ghamisi
exaly   +2 more sources

A New Fusion Method for Remote Sensing Images

2021
As a branch of Internet of Things (IoT), network geographic information (WebGIS) has the task of enhancing remote sensing images, including correction, fusion, mapping, etc. Remote sensing images captured by different satellite platforms often present earth objects with various scales.
Xugang Wu, Xu Li, Zhenzhen Fan
openaire   +2 more sources

Fusion of Remote Sensing Images

Journal of the Geological Society of India, 2015
Abstract Recently, there has been greater interest in the Hyper spectral (HS) sensing technology as the information that resides in the HS spectral domain provides significant advantages over the traditional Multi spectral images. The inherent tradeoff between the spectral and spatial resolutions has resulted in the development of remote
V. R. S. Mani, S. Arivazhagan
openaire   +1 more source

Survey on remote sensing image fusion

AIP Conference Proceedings, 2020
Image Fusion in remote sensing has emerged as a popular protocol because it has proven useful in many areas, especially in the fields of environment, agriculture and land cover classification. Simply image fusion involves combining all relevant information from many images and then forming a single fused image.
B. Ajisha, A. K. Nisa
openaire   +1 more source

Remote Sensing Image Fusion on Gradient Field

18th International Conference on Pattern Recognition (ICPR'06), 2006
This paper presents two methods to fuse a low spatial resolution multispectral image and a high spatial resolution panchromatic one to produce a new multispectral image with high spatial resolution. First, the Poisson fusion method is developed based on minimizing the gradient difference between the synthesized image and the panchromatic image with ...
Jianting Wen, Yan Li, Haifeng Gong
openaire   +1 more source