Results 121 to 130 of about 135,791 (297)

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

ESO-Det: An Efficient Small Object Detector for Real-Time UAV Perception

Sensors
Object detection in aerial drone imagery has attracted increasing attention in Unmanned Aerial Vehicle(UAV) sensing applications. However, small objects occupying limited image regions, with large scale variations and similar background interference ...
Haodong Deng, Song Zhou, Weidong Yang
doaj   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Ecological Characteristics of Stream Reaches With and Without Low‐Tech Process‐Based Restoration in a Wildfire‐Affected Catchment

River Research and Applications, EarlyView.
ABSTRACT Low‐tech process‐based stream restoration (LTPBR) is increasingly implemented following wildfire, underscoring the need to evaluate restoration outcomes in burned catchments. To help address this need, we measured abiotic and biotic characteristics of a reach that received LTPBR, an untreated reach, and a reach with relict beaver activity that
Kimberly A. Nichter, Travis Gilmore, Cole Carbone, Ben Sellers, Matthew P. Fairchild, Daniel L. Preston   +5 more
wiley   +1 more source

Analytical models and system topologies for remote multispectral data acquisition and classification [PDF]

Simple analytical models are presented of the radiometric and statistical processes that are involved in multispectral data acquisition and classification.
Burcher, E. E., Huck, F. O., Kelly, W. L., IV, Park, S. K.   +3 more
core   +1 more source

Hydropower Operations Reduce Alluvial Nesting Habitat and Alter Riverine Turtle Population Demographics

River Research and Applications, EarlyView.
ABSTRACT Hydropower management has altered discharge regimes of large rivers worldwide, reducing sediment mobilization and early‐seral conditions essential for many riverine species. Spiny softshell turtles (Apalone spinifera) rely on alluvial habitats for nesting and may serve as sentinel species to assess the effects of regulated flow regimes and ...
Kayhan Ostovar, Larissa Saarel, Joanna‐Lynn C. Borgogna, Luke Ward, Whalen Alston, Matt Prinkki, Addison Valdez   +6 more
wiley   +1 more source

Semantic segmentation via pixel‐to‐center similarity calculation

CAAI Transactions on Intelligence Technology
Since the fully convolutional network has achieved great success in semantic segmentation, lots of works have been proposed to extract discriminative pixel representations.
Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Nong Sang, Changxin Gao   +5 more
doaj   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Preliminary data for the 20 May 1974, simultaneous evaluation of remote sensors experiment [PDF]

Several remote sensors were simultaneously used to collect data over the tidal James River from Hopewell to Norfolk, Virginia. Sensors evaluated included the Multichannel-Ocean Color Sensor, multispectral scanners, and multispectral photography.
Batten, C. E., Bowker, D. E., Bressette, W. E., Grew, G. W., Johnson, R. W.   +4 more
core   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source