A5079272069- Remote-Sensing Image Classification
- Radiation Effects in Electronics
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Semiconductor materials and devices
- Remote Sensing and LiDAR Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Image Fusion Techniques
- CCD and CMOS Imaging Sensors
- Advancements in Semiconductor Devices and Circuit Design
- Automated Road and Building Extraction
- Geochemistry and Geologic Mapping
- Infrared Target Detection Methodologies
- Advanced Image and Video Retrieval Techniques
- 3D Surveying and Cultural Heritage
- Satellite Image Processing and Photogrammetry
- Advanced Memory and Neural Computing
- Fire effects on ecosystems
- Radiation Detection and Scintillator Technologies
- Radiation Therapy and Dosimetry
- Ionosphere and magnetosphere dynamics
- Particle Detector Development and Performance
- Land Use and Ecosystem Services
- Astro and Planetary Science
- Silicon and Solar Cell Technologies
K.N.Toosi University of Technology
2016-2025
Islamic Azad University, Tehran
2024
Shaheed Rajaei Cardiovascular Medical and Research Center
2020-2024
Shaoxing University
2024
Micron (United States)
2014-2023
American Society for Photogrammetry and Remote Sensing
2021
University of Manitoba
2020
European Space Research and Technology Centre
2003-2019
Tehran University of Medical Sciences
2012-2018
Shahid Beheshti University
2015
Mangroves are among the most productive ecosystems in existence, with many ecological benefits. Therefore, generating accurate thematic maps from mangrove is crucial for protecting, conserving, and reforestation planning these valuable natural resources. In this paper, Sentinel-1 Sentinel-2 satellite images were used synergy to produce a detailed ecosystem map of Hara protected area, Qeshm, Iran, at 10 m spatial resolution within Google Earth Engine (GEE) cloud computing platform. regard, 86...
Nowadays, unmanned aerial vehicle (UAV) remote sensing data are key operational sources used to produce a reliable building damage map (BDM), which is of great importance in instant response and rescue operations after earthquakes. The present study proposes novel weighted ensemble transferred U-Net-based model (WETUM) consisting two major steps create binary BDM using UAV data. In the first step proposed approach, three individual initial BDMs predicted by pre-trained composite networks....
The ability of the Canadian agriculture sector to make better decisions and manage its operations more competitively in long term is only as good information available inform decision-making. At all levels Government, a reliable flow between scientists, practitioners, policy-makers, commodity groups critical for developing supporting agricultural policies programs. Given vastness complexity Canada’s regions, space-based remote sensing one most approaches get detailed describing evolving...
Vegetation is the main component of terrestrial Earth, and it plays an imperative role in carbon cycle regulation surface water/energy exchange/balance. The coupled effects climate change anthropogenic forcing have undoubtfully impacted vegetation cover linear/non-linear manners. Considering essential benefits to environment, vital investigate dynamics through spatially temporally consistent workflows. In this regard, remote sensing, especially Normalized Difference Index (NDVI), has offered...
Landslides are a prevalent natural hazard in West Bengal, India, particularly Darjeeling and Kurseong, resulting substantial socio-economic physical consequences. This study aims to develop hybrid model, integrating Genetic-based Random Forest (GA-RF) novel Self-Attention based Convolutional Neural Network Long Short-term Memory (SA-CNN-LSTM), for accurate landslide susceptibility mapping (LSM) generate vulnerability-building map these regions. To achieve this, we compiled database with 1830...
Abstract Automatic extraction of geospatial features has been the subject extensive research in past three decades. Here, an approach based on fuzzy logic and mathematical morphology is proposed, to extract main road centrelines from pan‐sharpened IKONOS images. In images, a standard deviation 10 grey levels measured for classes. proposed system, just one arbitrary pixel (up maximum 3 pixels) provides adequate initial value. Road identification requires neither numbers classes nor...
A planar floating-gate NAND technology has previously realized a 0.87Gb/mm2 memory density using 3b/cell [1] and achieved minimum feature size for 16nm [2]. However, the development of flash is expected to reach scaling limit in few generations. To break though this limit, significant shift 3D begun several types cell structures have been proposed discussed [3–5]. Recently V-NAND 1.86Gb/mm2 charge-trap cells [6]. This paper presents utilizing floating gate (FG) that achieves 4.29Gb/mm2.
Building damage detection after earthquake would help to rapid relief and response of disaster. In this study, an efficient method was proposed for building in urban area using pre-event vector map postevent pan-sharpened high spatial resolution image. At first, preprocessing applied on the satellite Second, results pixel- object-based classifications were integrated. following, geometric features buildings extracted including area, rectangular fit (rect_fit), convexity. A decision-making...
Satellite remote sensing is undergoing a revolution in terms of sensors and temporal coverage. The possibility acquiring earth’s surface video from space provides an opportunity to investigate broader applications sensing. High-resolution spaceborne videos can become vital factor earth observation. Temporally continuous tracking moving objects, i.e. vehicles, vessels, or even military equipment on Earth’s demands high spatial resolution satellite videos. Detecting vehicles the urban areas...
The aggressive scaling of NAND Flash memory technology — one that is even outpacing Moore's Law has enabled very rapid cost-per-bit reduction, resulting in an explosion systems utilizing this versatile technology. From removable media and personal music players to smart phones, tablets, now computers data center applications employing client enterprise solid state drives (SSDs), making solid-state memory-based storage affordable.
In recent decades, building and tree detection from LiDAR data aerial imagery with high automation accuracy level has been the focus of many researchers which was selected as purpose our research. At first, after preprocessing, off-terrain objects (OTO) including trees buildings were extracted data. Second, a number features produced inputs support vector machines (SVMs) to separate trees. SVM, an automatic procedure used for selecting training After separating trees, mathematical morphology...
Classification and detection of urban objects have been big challenges for years. High spatial resolution hyperspectral thermal infrared (HSR-HTIR) is a novel source data that became available in recent years object detection. In this research, method proposed integration HTIR very high (VHSR) visible image to classify objects. First, atmospheric corrections were enforced the HSR-HTIR. Second, first time, projection pursuit (PP) band reduction was applied data, results achieved are better...
In this article, we propose a novel framework to radiometrically correct unregistered multisensor image pairs based on the extracted feature points with KAZE detector and conditional probability (CP) process in linear model fitting. method, scale, rotation, illumination invariant radiometric control set samples (SRII-RCSS) are first by blockwise strategy. They then distributed uniformly over both textured texture-less land use/land cover (LULC) using grid interpolation of nearest-neighbors....
Mapping and monitoring the spatio-temporal variations of Surface Urban Heat Island (SUHI) thermal comfort metropolitan areas are vital to obtaining necessary information about environmental conditions promoting sustainable cities. As most populated city Iran, Tehran has experienced considerable population growth Land Cover/Land Use (LULC) changes in last decades, which resulted several adverse issues. In this study, 68 Landsat-5 Landsat-8 images, collected from Google Earth Engine (GEE),...
This article compares the performances of most commonly used keypoint detectors and descriptors (SIFT, SURF, KAZE, AKAZE, ORB, BRISK) in keypoint-based relative radiometric normalization (RRN) unregistered bitemporal multispectral images. The keypoints matched between subject reference images represent possible unchanged regions form a control set (RCS). initial RCS is further refined by removing with low cross-correlation. final to approximate linear mapping corresponding bands procedure...
Mangroves, as unique coastal wetlands with numerous benefits, are endangered mainly due to the coupled effects of anthropogenic activities and climate change. Therefore, acquiring reliable up-to-date information about these ecosystems is vital for their conservation sustainable blue carbon development. In this regard, joint use remote sensing data machine learning algorithms can assist in producing accurate mangrove ecosystem maps. This study investigated potential artificial neural networks...
In some remote sensing applications, such as unsupervised change detection, bitemporal multispectral images must be first aligned/harmonized radiometrically. For doing so, Many Relative Radiometric Normalization (RRN) algorithms exist; however, most suffer from misregistration problems and can only operate on geo/co-registered image pairs, while unregistered pairs are required. To tackle this situation, keypoint-based RRN methods were introduced, which radiometrically calibrate...
This paper presents a1Tb 4b/cell 3D-NAND-Flash memory on a 176-tier technology with 14.7Gb/mm2 bit density. The die is organized using 4-plane architecture for multiplane operations 16KB page size. 1×4 plane improves both program and read throughput, without increasing the Periphery circuitry buffers are placed under array 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> -generation CMOS (CuA) technology. To improve random performance,...