Results 101 to 110 of about 3,908,888 (282)

TIMA-Net: A Lightweight Remote Sensing Image Change Detection Network Based on Temporal Interaction Enhancement and Multi-Scale Aggregation

Remote Sensing
Remote sensing image change detection (RSCD) holds significant application value in fields such as environmental monitoring, post-disaster assessment, and urban planning. However, existing deep learning methods often face challenges of high computational
Zhijun Zhou, Xuejie Zhang, Xiaoliang Luo, Lvchun Wang, Wei Yu, Shufang Xu, Longbao Wang   +6 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Cloud-Based Solutions for Monitoring Coastal Ecosystems and the Prioritization of Restoration Efforts Across Belize

Remote Sensing
In recent years, the availability of automated change detection algorithms in Google Earth Engine has permitted the cloud-based processing of large quantities of satellite imagery. Models such as the Continuous Change Detection and Classification (CCDC),
Christine Evans, Lauren Carey, Florencia Guerra, Emil A. Cherrington, Edgar Correa, Diego Quintero   +5 more
doaj   +1 more source

Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels

Remote Sensing, 2019
We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak, Marc Simard, Michael Denbina   +2 more
doaj   +1 more source

Change detection in SAR time-series based on the coefficient of variation

, 2019
This paper discusses change detection in SAR time-series. Firstly, several statistical properties of the coefficient of variation highlight its pertinence for change detection. Then several criteria are proposed. The coefficient of variation is suggested
Koeniguer, Elise Colin, Nicolas, Jean-Marie   +1 more
core  

Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection

IEEE Transactions on Geoscience and Remote Sensing
This work has been submitted to the IEEE for possible ...
de Gélis, Iris, Corpetti, Thomas, Lefèvre, Sébastien   +2 more
openaire   +4 more sources

Fast Change Detection

Defence Science Journal, 2011
Automated detection of changes in a sequence of images captured under fixed background and steady light condition is an often required operation having widespread application. Possible application areas can be as diverse as from military to atmospheric science, from medicine to video surveillance, etc.
Aniruddha Bose, Kunal Ray
openaire   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

SSTGCNs: Spectral–Spatial–Temporal Long-Range Dependencies Joint Feature Extraction With Graph Convolutional Networks for Adaptive Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image change detection plays an important role in ground observation tasks, making full use of the rich spectral and spatial information in the bitemporal hyperspectral to identify subtle changes in the surface.
Zhanyuan Chang, Yuwen Wei, Jie Lian, Mingxiao Jin, Dong Wang, Xuyang Li   +5 more
doaj   +1 more source

Integrating Drone Imagery into High Resolution Satellite Remote Sensing Assessments of Estuarine Environments

Remote Sensing, 2018
Very high-resolution satellite imagery (≤5 m resolution) has become available on a spatial and temporal scale appropriate for dynamic wetland management and conservation across large areas.
Patrick C. Gray, Justin T. Ridge, Sarah K. Poulin, Alexander C. Seymour, Amanda M. Schwantes, Jennifer J. Swenson, David W. Johnston   +6 more
doaj   +1 more source