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Low resolution satellite products are often validated by point-scale in-situ soil moisture measurements from TDR/FDR devices, where the scale mismatch limits the quality of validation efforts in heterogeneous regions. In Cosmic Ray Neutron Probes (CRNP) provide area-average soil moisture within a 150–250 m radius footprint, so that they are able to fill the scale gap between both systems. In this...
This research proposes to build a universal, multi-layer, multi-level, multi-component system to achieve “low coupling, high cohesion” for remote sensing data distribution. Such a system can make the components reusable at a maximum extent and enhance the system's reusability and versatility. The object-relational spatial database and file management method based on Oracle GeoRaster is used to store...
Satellite can provide remote sensing data for disaster monitoring, and various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to store and process massive data acquired by satellite as fast as possible. A flexible and rapid service platform can realize integrated services from data acquisition, data production and product visualization. This article...
ALOS-2 ScanSAR data was used for examining the effect of precipitation and soil moisture variations on L-band forest backscatter in tropical regions. Multitemporal data spanning from observation cycle 39 to 62 acquired over tropical forests in South America and Africa has been used. Precipitation data provided through JAXA's global rainfall watch was used to examine the temporal change of L-band σ...
Pansharpening technology has been an important tool in remote sensing applications. It aims at increasing the spatial resolution of multispectral (MS) image with the aid of panchromatic (PAN) image. A key point of pansharpening is spatial detail extraction and injection. Since MS and PAN images contain objects in different sizes and structures of various scales, scale-sensitive detail extraction is...
The evaluation of small watershed management efforts is significantly meaningful to design and implement projects of protecting the water quality in water source area. In this paper, the images of GaoFen-1(GF1) and the China's first civilian high-resolution stereo mapping satellite, ZiYuan-3 (ZY-3) satellite, were used to get the land surface information in a small watershed in the water source area...
Cellular neural network is adopted for seismic pattern recognition. We design cellular neural network to behave as associative memory according to the stored patterns, and finish the training process of the network. Then we use this associative memory to recognize seismic test patterns. In the experiments, the analyzed seismic patterns are bright spot pattern, right and left pinch-out patterns. From...
AdaBoost is a popular ensemble method utilized in pattern recognition problems that are considered tough. Besides being a robust technique it does suffer from few limitations viz. size of training data and presence of noise in training data. In this context, we proposed a novel technique called Perspective Based Model (PBM) for ensemble creation in case of multispectral data analysis. In the present...
For many applied problems in agricultural monitoring and food security it is important to provide reliable crop classification maps in national or global scale. Large amount of satellite data for large scale crop mapping generate a “Big Data” problem. The main idea of this paper was comparison of pixel-based approaches to crop mapping in Ukraine and exploring efficiency of the Google Earth Engine...
In this paper, we propose a post classification smoothing method aimed at improving the accuracy and visual appearance of sub-decimeter image classification results. Starting from the class confidence maps of a supervised classifier, we find a set of high confidence markers and propagate labels on an extended region adjacency graph. We apply the proposed method on a challenging 5cm resolution dataset...
In this paper, the problem of joint transmit waveform and receive filter design for cognitive radar (CR) is investigated. The problem is analyzed in signal-dependent interference, as well as additive channel noise for extended target with unknown target impulse response (TIR). An improved online waveform optimization design method is employed for target detection by maximizing the average signal to...
Target recognition based on forward-looking imaging has many potential applications. However, the conventional algorithms fail to locate targets accurately due to the low resolution of forward-looking radar images. Meanwhile, the conventional algorithms always suffer from high computational complexity and cannot satisfy the requirement of real-time processing for high-speed platform. This paper proposes...
This paper addresses the problem of semi-automatic image registration on planetary images. A joint feature-based and area-based approach is proposed. Firstly, the most relevant craters are extracted from the two images to register, and then, registration is performed in two steps. The first step matches the craters extracted from the images based on a generalized Hausdorff distance. In the second...
Regularization technology can be utilized to improve the azimuth resolution for forward-looking scanning radar (FLSR). Among various regularization methods, L1 norm constrained method is usually adopted for its strong ability in resolving the sparse targets. Nevertheless, the solution of L1-norm constrained regularization method (L1-CRM) is sensitive to noise and the iterations would quickly diverge...
This paper reports on a set of radar experiments conducted at 222 GHz in support of envisioned application of radars to autonomous vehicles. The measured radar backscatter data of road surfaces at incident angles between 80 and 88o are presented. The polarimetric radar response level from different surfaces encountered in roads and highway environments and the angular dependency are discussed. The...
To implement on-board detection and matching of feature points on satellite, a FPGA-based hardware architecture of prototype was proposed in this paper. The SURF detector and the BRIEF descriptor are implemented on the selected FPGA (Xilinx K7 XC7K325T-1ffg900). Experiment results indicated that the detection speed of one frame with size of 256 × 256 was 1.5 ms under the clock frequency was 100MHz...
The Ocean Salinity (OS) Satellite mission of the State Oceanic Administration of China dedicates to an “all-weather” estimate of high-quality global SSS and to reduce geophysical errors due to surface roughness and sea surface temperature from space. The payload of this mission has the capability of L/C/K multi-frequency passive and L-band active measurement, and can implement the simultaneously remote...
SPOT6/7 images of bared soil and mid-season soybean were used to propose a new methodology for site-specific management zone (SSMZ) delineation in the Black soil farmland of Northeast China and soil organic matter and normalized difference vegetation index (NDVI) were used to evaluate the results. The results show: 1) SSMZ based on the June 9th image and the NDVI on the August 8th had the consistent...
Aiming at the problem of traffic flow detection, a method of detecting traffic flow by GNSS-R is proposed for the first time. Using the dielectric constant difference between the vehicle and the ground, it is possible to judge whether the vehicle is present in the detection area. After receiving the reflection signal in the detection area, and calculating the signal-to-noise ratio and the related...
As part of the Copernicus Programme, Sentinel 1 (S1) synthetic aperture radar (SAR) mission represents a unique monitoring tool whose potentialities for hydrological risk mitigation need to be evaluated. To this aim, S1-A derived soil moisture maps with high spatial resolution (100 m) and moderate temporal resolution (12 days) were assimilated within a time-continuous, spatially-distributed, physically-based...
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