Results 51 to 60 of about 2,212,969 (308)

A Review of Environmental Monitoring for Land Desertification Using Geospatial Analysis and Remote Sensing [PDF]

Nature Environment and Pollution Technology
Studying and evaluating desertification is essential due to its potential occurrence as a result of both natural and anthropogenic processes. Precise forecasting of forthcoming climate change perils is crucial for devising policies, action strategies ...
Ghaidaa Sabah Yousef, Hayder Dibs and Ahmed Samir Naje
doaj   +1 more source

Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements [PDF]

, 2022
During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...
Soumya K. Ghosh, Mitra, Pabitra, Ghosh, Soumya K., Monidipa Das, Vemuri M. Chowdary, Pabitra Mitra, Chowdary, Vemuri M., Santosh Rijal, Rijal, Santosh, Das, Monidipa   +9 more
core   +1 more source

YOLO-RS: A More Accurate and Faster Object Detection Method for Remote Sensing Images

Remote Sensing, 2023
In recent years, object detection based on deep learning has been widely applied and developed. When using object detection methods to process remote sensing images, the trade-off between the speed and accuracy of models is necessary, because remote sensing images pose additional difficulties such as complex backgrounds, small objects, and dense ...
Tianyi Xie, Wen Han, Sheng Xu 0003
openaire   +3 more sources

Acknowledgment to Reviewers of Remote Sensing in 2020

, 2021
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Remote Sensing maintains its standards for the high quality of its published papers [...
Remote Sensing Editorial Office Remote Sensing Editorial Office, null null, Remote Sensing Editorial Office   +2 more
core   +1 more source

Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion

IEEE Access, 2021
Object detection for remote sensing images remains a challenging problem. In this paper, we proposed an effective remote sensing detection network (RS-Net) based on YOLOv4, which greatly solves the difficulties of remote sensing object detection.
Honghui Xu, Xinqing Wang, Ting Rui, Baoguo Duan, Dong Wang   +4 more
doaj   +1 more source

RS-WaterQuality Mapper: an open-source water quality remote sensing toolbox in QGIS. [PDF]

Earth Sci Inform
Abstract Effective water management requires frequent monitoring, but traditional methods are limited in spatiotemporal scope. While satellite remote sensing provides extensive data, a gap persists in accessible, integrated software for non-specialists.
Su H, Liu H, Wang L, Miliutina E, Men J, Tian D, Lu Y, Shu S, Beck R, Premsagar A.   +9 more
europepmc   +4 more sources

RS-DAT: Deployable analysis environment for remote sensing

, 2022
RS-DAT is an eScience Center - SURF Alliance project that aim to lessen the gap between the use of large-scale computing infrastructure that can provide for processing and analyzing big geospatial and Earth observation data, and the accustomed workflows of researchers with specific skills and technical knowledge. For this purpose, it provides tools and
openaire   +1 more source

RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting

CoRR
Remote sensing world models aim to both explain observed changes and forecast plausible futures, two tasks that share spatiotemporal priors. Existing methods, however, typically address them separately, limiting cross-task transfer. We present RS-WorldModel, a unified world model for remote sensing that jointly handles spatiotemporal change ...
Linrui Xu, Zhongan Wang, Fei Shen, Gang Xu, Huiping Zhuang, Ming Li, Haifeng Li   +6 more
openaire   +2 more sources

RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data

CoRR
Object-Counting for remote-sensing (RS) imagery is attracting increasing research interest due to its crucial role in a wide and diverse set of applications. While several promising methods for RS object-counting have been proposed, existing methods focus on a closed, pre-defined set of object classes.
Tamir Shor, George Leifman, Genady Beryozkin   +2 more
openaire   +3 more sources

Bibliometric Analysis of Global Remote Sensing Research during 2010–2015

ISPRS International Journal of Geo-Information, 2017
Bibliometric analysis based on the Science Citation Index Expanded published by Thomson Scientific was carried out to identify the research status and future trends of remote sensing (RS) during 2010–2015.
Hongyue Zhang, Mingrui Huang, Xiuling Qing, Guoqing Li, Chuanzhao Tian   +4 more
doaj   +1 more source