A comprehensive review on segmentation techniques for satellite images
Segmentation of satellite images is the noteworthy and essential step for better
understanding and analysis in various applications such as disaster and crisis management …
understanding and analysis in various applications such as disaster and crisis management …
A Transferable Learning Classification Model and Carbon Sequestration Estimation of Crops in Farmland Ecosystem
L Wang, Y Bai, J Wang, F Qin, C Liu, Z Zhou, X Jiao - Remote Sensing, 2022 - mdpi.com
Frequent agricultural activities in farmland ecosystems bring challenges to crop information
extraction from remote sensing (RS) imagery. The accurate spatiotemporal information of …
extraction from remote sensing (RS) imagery. The accurate spatiotemporal information of …
Modelling inter-pixel spatial variation of surface urban heat island intensity
Context Surface urban heat island intensity (SUHII) is a classical measure depicting urban
heat island phenomenon via remotely sensed thermal infrared data. The most common …
heat island phenomenon via remotely sensed thermal infrared data. The most common …
Improved change detection in remote sensed images by artificial intelligence techniques
The remote sensed images carry large amount of crucial information. Image processing, a
field of signal processing, helps in analysis of remote sensed data. One of the major …
field of signal processing, helps in analysis of remote sensed data. One of the major …
Remote Sensing Image Building Segmentation Integrating Detail and Global Information
Z Sun, X Wang - 2024 5th International Conference on Big Data …, 2024 - ieeexplore.ieee.org
A novel architectural segmentation network model for remote sensing imagery, integrating
local detail enhancement and global information processing, is proposed to address …
local detail enhancement and global information processing, is proposed to address …