Building heights are one of the crucial data for comprehending functions urban systems. Employing optical remote sensing imagery, shadow-based method is most promising methods which have been proposed estimating building height. However, existing studies height estimation restricted to a small area due lack annotations and ignorance azimuth variations. The Ice, Cloud, Land Elevation Satellite-2 (ICESat-2) allows large-scale retrieval in along-track direction thus can be taken as ground truth...

Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in milieu. However, openly accessible building information at individual level is still lacking remains sorely limited. Previous studies have shown ICESat-2′s ATL03/08 products are good accuracy for heights retrieval, however, these limited to areas with available data coverage. To this end, we propose a method extracting...

Visibility determination is a key requirement in wide range of national and urban applications, such as security, landscape management, design. Mobile LiDAR point clouds can depict the built environment with high level details accuracy. However, few three-dimensional visibility approaches have been developed for street-level point-cloud data. Accordingly, an approach based on mobile has to map at street level. The method consists five steps: voxelization data, construction lines-of-sight,...

The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has been collecting elevation measurements of the Earth's surface since its launch in September 2018. Although ICESat-2 was not designed for urban applications, excellent altimetry capabilities over globe make it possible to obtain height information. However, few studies have conducted validate areas. In this letter, we evaluate heights retrieved from 20 months ATL03 ATL08 data using airborne LiDAR collected New York City (NYC)....

Characterizing landscape patterns and revealing their underlying processes are critical for studying climate change environmental problems. Previous methods mapping land cover changes largely focused on the classification of remote sensing images. Therefore, they could not provide information about evolutionary process changes. In this paper, we developed a spatiotemporal structural graph (STSG) technique comprehensive analysis First, neighborhood was generated each snapshot to quantify...

Abstract This study explores the possibility of deciphering changes in total area a karst wetland due to shifts inland use, economy and population over long‐term period (35 years) microclimate (1958–2019). To achieve this goal, we focused on Huangcaozhou Karst Wetland, national park located China. Based remote sensing interpretation, climate data, statistical yearbook datasets, our results showed that from 1984 2019, owing rapid rates urbanization economic development, swamplands decreased...

Vehicle-borne Laser Scanning (VLS) and Backpack (BLS) are two emerging mobile mapping technologies for capturing detailed spatial information near ground in urban built environments. BLS has flexible mobility usually provides point clouds a local coordinate system. Therefore, mismatch between VLS data is quite common. Fusing different systems could provide comprehensive survey of Because the complexity road environments difference acquisition methods, traditional registration approaches...

Text-to-speech (TTS) methods have shown promising results in voice cloning, but they require a large number of labeled text-speech pairs. Minimally-supervised speech synthesis decouples TTS by combining two types discrete representations(semantic & acoustic) and using sequence-to-sequence tasks to enable training with minimal supervision. However, existing suffer from information redundancy dimension explosion semantic representation, high-frequency waveform distortion acoustic...

In this paper, a simple boundary-enhanced network and new multi-task loss function are proposed for building segmentation from multiple remote sensing sources. The experimental results on MapAI-challenge dataset demonstrates that our can segment buildings data, especially the image & laser multi-source dataset. mean score of IoU BIoU is 0.8995 task 1 0.9155 2 MapAI validation 0.5239 1, 0.7038 test

A method for description of structural characteristics air traffic situation based on the theory complex network was proposed. This characterizes from three dimensions, including single aircraft, local sector, and overall sector. We selected routinely-recorded flight data in an control sector within China's airspace 2013. With aircrafts regarded as nodes, with between-aircraft proximity relations edges, we constructed undirected unweighted aircraft network. The results show that node degree...

According the present complicated and lacks of high-leveled automation ground operation supporting system, based on concept ICAO'S A-SMGCS (advanced surface movement guidance control systems) existed facilities airport, this paper focuses research a new system in accordance with A-SMGCS, including basis hardware, surveillance monitoring subsystem lighting subsystem, etc. The is capable not only detecting predicting traffic conflicts but also providing solutions suggestions. Meanwhile can...

Abstract. The return waveform of satellite laser altimeter plays vital role in the parameters designation, data processing and application. In this paper, a method refined full simulation is proposed based on reflectivity ground target, true emission Laser Profile Array (LPA). ICESat/GLAS used as validation data. Finally, we evaluated accuracy with correlation coefficient. It was found that echo could be significantly improved by considering target waveform. However, intensity distribution...

Text-to-speech (TTS) methods have shown promising results in voice cloning, but they require a large number of labeled text-speech pairs. Minimally-supervised speech synthesis decouples TTS by combining two types discrete representations(semantic \& acoustic) and using sequence-to-sequence tasks to enable training with minimal supervision. However, existing suffer from information redundancy dimension explosion semantic representation, high-frequency waveform distortion acoustic...

The occupational identity of administrators in local applied undergraduate colleges is related to how Chinese and universities can better move from management governance. Based on the social theory perspective, this study uses a combination semi-structured interviews questionnaires extract elements structure colleges. It compiles measurement scale that conforms characteristics group. research results show professional four-dimensional consisting cognitive identity, emotional competency...

The compass satellite navigation system is developed by China which could provide the clock real-time location services, short message service and precision timing services. Based on functions of system, an ATC simulation platform based has been proposed in this paper. structure, research content have presented detail. Finally prospects are put forward to compelling applications air traffic management system.

The attitude of an object in space can be determined based on a single 2-dimension view through digital image processing, which utilizes mapping relationships among world, camera, and coordinates. key to apply this technique distance measure system traffic accident is detect calibrate plate, acts as ruler. By mean all kinds data that are used deal with accidents achieved calculations. An adaptive method detecting the plate given paper.

GNSS GBAS network not only improves positioning accuracy and guarantees navigation integrity, but also brings about other profits. To exploit the value of in reliable navigation, paper first presents a node reselection algorithm applied failure mode then introduces an spoofing detection method based on characterization Doppler frequency difference. By testing with data gathered from Qianxun BDS national network, two proposed methods are verified high success rate.