Accurate large-scale building detection is significant in monitoring urban development, map updating, change detection, and digital city establishment. However, due to the complicated details of background objects high spatial resolution remotely sensed images, models proposed are still not performing satisfactorily. Particularly, such issue lies small buildings, which easily be omitted, pixels bounding area each instance can especially confusing with objects. Aiming deal problem, we propose...

China is a country that significantly affected by and sensitive to global climate change. Floods are one of the major natural disasters in China, they occur with high frequency wide impact country, causing serious losses. Since 1990s, have become more frequent. has made remarkable achievements flood risk management, but problems challenges this context change urbanization still require in-depth analysis targeted adaptations. During summer 2020, southern suffered from catastrophic flooding;...

Efficient landslide mapping from high spatial resolution images is important in many practical applications, such as emergency response. Numerous studies and methods have been published on this subject; however, these are difficult to apply the real world because they mainly based remotely sensed landslides a single sensor with specific resolution. Additionally, models built within deep learning frameworks tend adopt similar encoder-decoder network structures, wherein features easily...

Up-to-date building maps are fundamental to urban development and analysis. However, detecting buildings from images with different spatial resolutions ground object patterns various imaging sensors is a challenge. Current models mostly have difficulties in extracting poor boundaries due the appearances sizes. Moreover, most published methods trained evaluated on subsets same dataset whose captured one sensor similar patterns, making it difficult evaluate transferability objectively. To...

Owing to the ill-posed problem of radiometric equations, separation land surface temperature (LST) and emissivity (LSE) from observed data has always been a troublesome problem. On basis assumption that LSE spectrum can be described by piecewise linear function, new method proposed retrieve LST atmospherically corrected hyperspectral thermal infrared using spectral constraint. Comparisons with existing methods found in literature show our is more noise immune than methods. Even NEΔT 0.5 K,...

Hyperspectral LiDAR (HSL) technology can obtain spectral and ranging information from targets by processing the recorded waveforms measuring time of flight (ToF). With development supercontinuum laser (SCL), it is technically easier to develop an active hyperspectral system that simultaneously collect both spatial extensive targets. Compared with traditional technology, which only range intensity at selected wavelengths, HSL detection has demonstrated its potential adaptability for various...

The current glacial lake datasets in the High Mountain Asia (HMA) region still need to be improved because their boundary divisions land–water transition zone are not precisely delineate, and also some very small lakes have been lost due mixed reflectance with backgrounds. In addition, most studies only focused on changes area of a as whole, but do involve actual per pixel its potential controlling factors. this research, we produced more accurate complete maps extent HMA 2008, 2012, 2016...

Practical landslide inventory maps covering large-scale areas are essential in emergency response and geohazard analysis. Recently proposed techniques detection generally focused on landslides pure vegetation backgrounds image radiometric correction. There still challenges regard to robust methods that automatically detect from images with multiple platforms without It is a significant issue practical application. In order over different spatial resolutions, this paper proposes two-branch...

Aerosol optical depth (AOD) is the key parameter for determining aerosol radiative effects and air quality variation. It important to quantify nighttime aerosols using satellite-based night light images understand their diurnal variations. This study selected high-resolution low from Glimmer Imager (GLI) aboard SDGSAT-1 satellite examine spatial–temporal changes in emitted urban surface of Beijing. The radiance observed by SDGSAT-1/GLI was used discern AOD background method (RB) standard...

Liquid-liquid phase separation (LLPS) of biomacromolecules is crucial for regulating cellular functions. To explore their molecular mechanisms, peptide-based coacervates mimicking natural proteins have been developed, but the role side chain modifications such as glycosylation remains underexplored. Here, we demonstrate that acetylation short glycopeptides can induce pH- and concentration-dependent separation, while removing acetyl groups abolishes this behavior. Circular dichroism...

Vicarious calibration and validation techniques are important tools to ensure the long-term stability inter-sensor consistency of satellite sensors making observations in solar-reflective spectral domain. Automated test sites, which have continuous situ monitoring both ground reflectance atmospheric conditions, can greatly increase match-up possibilities for a wide range space agency commercial sensors. The Baotou site China provides operational high-accuracy high-stability vicarious high...

Unregulated livestock breeding and grazing can degrade grasslands damage the ecological environment. The combination of remote sensing artificial intelligence techniques is a more convenient powerful means to acquire information in large area than traditional manual ground investigation. As mainstream platform, unmanned aerial vehicles (UAVs) obtain high-resolution optical images detect grassland. However, objects UAV usually occupy very few pixels tend gather together, which makes them...

A thermal infrared spectrometer is an important sensor onboard the SDGSAT-1 dedicated to serving 2030 Agenda for Sustainable Development of United Nations. Field campaigns were conducted from January December 2022 evaluate its radiometric calibrations. radiance-based calibration method was used derive spectral radiance lake surface around satellite overpass using a boat-deployed TIR or radiometer. The conditions quantified by examining temperature bias between satellite-based brightness and...

Hyperspectral imaging has been widely applied in remote sensing scientific fields. For this study, hyperspectral data covering the spectral region from 400 to 1000 nm were collected an unmanned aerial vehicle visible/near-infrared hyperspectrometer (UAV-VNIRIS). Theoretically, calibration parameters of UAV-VNIRIS measured laboratory should be refined when obtained UAV platform due variations between and actual flight environments. Therefore, accurate is essential further applications data....

The Glimmer Imager on board the Sustainable Development Science Satellite 1 (SDGSAT-1) is capable of providing high-resolution nighttime light images. However, presence stripe noise and dark current in L4A images affects authenticity image information, thus limiting its scientific applications. This study proposes a panchromatic guidance denoising algorithm to enhance quality based spectral consistency properties between RGB channels. utilizes two low-noise bands obtain denoised area...

Radiometric calibration of the Landsat-8 operational land imager (OLI) sensor is a key step that enables additional quantitative research and application data. This study introduces ground reflected radiance-based approach to vicarious radiometric validate OLI onboard results. Vicarious calibration/validation field campaign was carried out at Baotou site in Inner Mongolia, China, on March 27, 2015, October 28, 29, 2016, April 21, 2016. The relative errors bands are within 5% for when...

On-orbit radiometric calibration of the optical sensors on-board SuperView-1 satellites is foundation for further quantitative applications. A field campaign was orchestrated to radiometrically calibrate at Baotou site in China during September 2018. Based on collected datasets, three independent methods (reflectance-based, radiance-based, and cross-calibration) were used determine coefficients with multiple permanent artificial targets. Comparisons desert top-of-atmosphere radiance...

Oil tank inventory is significant for the economy and military, as it can be used to estimate oil reserves. Traditional detection methods mainly focus on geometrical characteristics spectral features of remotely sensed images based feature engineering. The have a limited application capability when distribution pattern ground objects in image changes imaging condition varies largely. Therefore, we propose an end-to-end deep convolution network Res2-Unet+, detect tanks large-scale area....

Building extraction is significant in urban planning, economic evaluation, and driverless technology development. However, automatic building from high spatial resolution remote sensing images has been a challenging task due to the various shapes colors, imaging conditions, complex background objects. Current methods are generally based on deep convolution networks, they mostly use an encoder-decoder architecture, wherein detailed features small buildings easily omitted continuous...

Synthetic aperture ladar (SAL) is analogous to the synthetic radar (SAR) but works at wavelength 10 4–5 times shorter. SAL has potential for much finer resolution than SAR. Due shorter used SAL, platform vibration would induce high‐frequency and large‐amplitude phase errors during data collection. Direct using of conventional imaging algorithms suffers from performance degradation. To address this problem, an effective method based on subaperture gradient autofocus (PGA) normalised cross...

To regularly evaluate the optical payload performance (geometric, radiometric, and spatial resolution) data quality for high-resolution airborne satellite imaging systems, two new permanent targets (the knife-edge target fan-shaped target) made of gravel with advantages year-round availability, lower maintenance operations, a long lifetime were established in Academy Opto-Electronics Baotou site China. The spectral properties these are investigated this study. Note that anisotropy factor at...

Accurately detecting landslides over a large area with complex background objects is challenging task. Research in the suffers from three drawbacks general. First, models are mostly modified typical networks, and not designed specifically for landslide detection. Second, images used to construct evaluate of detection limited one spatial resolution, which struggles meet requirements such relevant applications as emergency response. Third, assessments primarily carried out by using training...

We present a three-dimensional (3D) imaging method for long-range spinning targets. This acquires multi-angle two-dimensional (2D) images of targets by the inverse synthetic aperture lidar (ISAL) technique. The 3D distribution scattering coefficients target has mapping relationship with series 2D images. is analyzed, and Hough transform used to implement mapping. parameter space estimation coefficients. point spread function obtained narrow main lobe widths sufficiently low side lobes...

The panchromatic and multispectral (PMS1/PMS2) sensors designed with one band four bands are two optical cameras on-board the Gao Fen 1 (GF-1) satellite launched on April 26, 2013. spatial resolution of PMS1/PMS2 2 8 m pan multispectral, respectively. vicarious calibration GF-1/PMS was performed by China Centre for Resource Satellite Data Application, coefficients were released once a year. Due to lack calibrator, on-orbit radiometric performance evaluation PMS is very important further...

Radiometric cross-calibration of Earth observation sensors is an effective approach to evaluate instrument calibration performance, identify and diagnose anomalies, quantify the consistency measurements from different sensors. In this study a novel method proposed, taking into account spectral viewing angle differences adequately; applied FY-3C/Visible Infrared Radiometer (VIRR), Suomi National Polar-Orbiting Partnership (NPP)/Visible Imaging Suite (VIIRS) as reference. The results show that...