Results 21 to 30 of about 12,017 (266)

RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision [PDF]

, 2023
Zero-shot remote sensing scene classification aims to solve the scene classification problem on unseen categories and has attracted numerous research attention in the remote sensing field.
Nan Zhou, Li, Xiang, Hu, Yuan, Zhou, Nan, Xiang Li, Congcong Wen, Yuan Hu, Wen, Congcong   +7 more
core   +1 more source

A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists [PDF]

, 2021
Submerged aquatic vegetation (SAV) is a critical component of aquatic ecosystems. It is however understudied and rapidly changing due to global climate change and anthropogenic disturbances.
Gillian S. L. Rowan, Margaret Kalacska
core   +1 more source

REMOTE SENSING, GIS AND PUBLIC HEALTH [PDF]

, 2010
The role of remote sensing (RS) and Geographic Information Systems (GIS) in public health is potentially great. As computer technology it continues to transform our ability to gather, analyze, and map health data, new roles for RS and GIS in public ...
HIROKl SUGIMORI, SUGIMORI, HIROKl
core   +2 more sources

Aventinus Minor Project: Remote Sensing for Archaeological Research in Rome (Italy) [PDF]

, 2022
This paper presents the results of a preliminary survey in a central urban area of Rome, Italy. The results were obtained from both desktop and remote sensing surveys.
Elizabeth Wueste, Giulia Facchin, Pier Matteo Barone   +2 more
core   +1 more source

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

Satellite remote sensing of ecosystem functions: Opportunities and challenges for reporting obligations of the EU habitat directive [PDF]

, 2018
The Habitats Directive (HD) and the associated Natura 2000 Network represent the major commitment of the European Union to biodiversity conservation. They are aimed at maintaining natural habitats in a favourable conservation status, which is assessed ...
P. Escribano, J.M. Requena-Mullor, Martínez-López, J., Alcaraz-Segura, D., Leitão, P. J., Regos, A., D. Alcaraz-Segura, P.J. Leitao, Requena-Mullor, J. M., S. Arenas-Castro, Cabello, J., Leitão, P.J., Escribano, P., Mairota, P., J. Martinez-Lopez, J. Cabello, P. Mairota, A. Regos, Requena-Mullor, J.M., Arenas-Castro, S.   +19 more
core   +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   +2 more sources

Adaptive Conditional Reasoning for Remote Sensing Visual Question Answering [PDF]

Remote Sensing Visual Question Answering (RS-VQA) is a research task that combines remote sensing image processing and natural language understanding. The increasing complexity and diversity of question types in Remote Sensing Visual Question Answering ...
Zongwen Bai, Rui Zhu, Peiqi Gao, Bolin Jia, Yiqun Gao, Meili Zhou   +5 more
core   +1 more source

YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

CoRR
With the rapid development of remote sensing technology, crop classification and health detection based on deep learning have gradually become a research hotspot. However, the existing target detection methods show poor performance when dealing with small targets in remote sensing images, especially in the case of complex background and image mixing ...
Linlin Xiao, Tiancong Zhang, Yutong Jia, Xinyu Nie, Mengyao Wang, Xiaohang Shao   +5 more
openaire   +2 more sources