Adaptive Conditional Reasoning for Remote Sensing Visual Question Answering
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 ...
Yiqun Gao +5 more
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RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for autonomous monitoring, disaster response, and environmental assessment ...
Yingrui Ji +7 more
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A Modular System Based on U-Net for Automatic Building Extraction from very high-resolution satellite images [PDF]
Recently, convolutional neural networks have grown in popularity in a variety of fields, such as computer vision and audio and text processing. This importance is due to the performance of this type of neural network in the state of the art, and in a ...
El Asri Smail Ait +3 more
doaj +1 more source
Semantic segmentation of remote sensing (RS) images is a pivotal branch in the realm of RS image processing, which plays a significant role in urban planning, building extraction, vegetation extraction, etc.
Lei Hu +3 more
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ASSESSMENT OF EARLY SEASON AGRICULTURAL DROUGHT THROUGH LAND SURFACE WATER INDEX (LSWI) AND SOIL WATER BALANCE MODEL [PDF]
An attempt was made to address the early season agriculture drought, by monitoring the surface soil wetness during 2010 cropping seasons in the states of Andhra Pradesh and Tamil Nadu.
K. Chandrasekar +2 more
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The inverse correlation between NDVI and LST is widely known for its long time series. However, when more specific statistical tests were performed, subtle differences in the correlation behavior over time are more clearly observed.
Eduardo Andre Kaiser +7 more
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PAMPA BIOME ENVIRONMENTAL PARTICULARITIES REGARDING TO ENERGY BALANCE [PDF]
Ecosystem evapotranspiration (ET) has been quantified around the world by different methodologies to understand the energy balance, especially to control the evolution of climate change.
N. S. Rocha +11 more
doaj +1 more source
AGDATABOX-RS computational application: Remote sensing data management
Remote sensing can help evolution of agricultural practices by providing periodic information about the status of a given crop over the harvest season, at different scales, and for different segments. Applications in precision agriculture use remote sensing practices based on multispectral images to measure plants’ parameters throughout their ...
Giuvane Conti +4 more
openaire +3 more sources
SPATIAL PATTERN OF TEMPORAL TREND OF CROP PHENOLOGY MATRICES OVER INDIA USING TIMESERIES GIMMS NDVI DATA (19826ndash;2006) [PDF]
NOAA-AVHRR bi-monthly NDVI data of 8×8 km for the period of 1982–2006 were used to analyze the trend of crop phenology matrices over Indian region.
A. Chakraborty +3 more
doaj +1 more source
THE EVALUATION OF THE INFLUENCE OF LAND SURFACE TEMPERATURE IN ENERGY BALANCE ESTIMATED BY S-SEBI MODEL [PDF]
Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to
N. S. Rocha +11 more
doaj +1 more source

