Monitorización de cultivos mediante PolSAR y técnicas de sistemas dinámicos

En las últimas décadas diversas técnicas basadas en teledetección mediante sistemas de microondas han servido para aumentar el conocimiento de la superficie terrestre. En concreto, los sistemas basados en Radar de Apertura Sintética (SAR) han demostrado ser una herramienta con un gran potencial en la monitorización de cultivos y de gran ayuda a las técnicas de cultivo de precisión (Precision Farming). En la actualidad existen técnicas de clasificación de cultivos basadas en adquisiciones SAR que permiten con elevada precisión determinar la cobertura espacial de diferentes cultivos sin embargo la estimación de parámetros biofísicos resulta más compleja con estas técnicas. Recientemente diversas estrategias han sido propuestas con el objetivo de determinar el estado de un cultivo, el estado fenológico, en un determinado instante basándose en el análisis de las características de las imágenes SAR polarimétricas (PolSAR). Estas primeras aproximaciones todavía se encuentran en una etapa de desarrollo temprana y por tanto es posible profundizar y analizar las diferentes alternativas a partir de ellas de manera que podamos obtener resultados más precisos y que puedan aportar información de valor añadido a las técnicas de cultivo de precisión. En este trabajo abordaremos la alternativa de aprovechar las series de imágenes SAR obtenidas en diferentes instantes en el ciclo de un cultivo para determinar el estado fenológico de un cultivo.

Remote sensing of ocean waves by polarimetric SAR

A new method to measure ocean wave slope spectra using fully polarimetric synthetic aperture radar (POLSAR) data was developed without the need for a complex hydrodynamic modulation transform function. There is no explicit use of a hydrodynamic modulation transfer function. This function is not clearly known and is based on hydrodynamic assumptions. The method is different from those developed by Schuler and colleagues or Pottier but complements their methods. The results estimated from NASA Jet Propulsion Laboratory (JPL) Airborne Synthetic Aperture Radar (AIRSAR) C-band polarimetric SAR data show that the ocean wavelength, wave direction, and significant wave height are in agreement with buoy measurements. The proposed method can be employed by future satellite missions such as RADARSAT-2.

极化SAR图像海面船只监测方法研究

船只监测不论是在民用还是军用方面都有广阔的应用前景。极化合成孔径雷达（PolSAR）可以测量目标的极化散射特性，能够提高舰船检测的准确度和分类精度。论文以工程应用为背景，以深刻理解PolSAR图像成像原理及理论为基础，重点围绕PolSAR图像船海对比度增强和海上目标识别等方面开展了研究。 本文在文献综述的基础上，全面分析了单极化和PolSAR图像舰船目标检测的研究现状。在现有的PolSAR图像目标检测方法基础上，针对双极化数据首次提出二维卷积方法提高船海对比度；针对全极化数据改进广义最优化方法，构造极化特征向量，将回波强度和极化散射特征有机结合，提高船海对比度。上述两种方法能解决船只回波强度和海面回波强度相近或高海况下船目标检测问题。将聚类方法应用到海上目标识别中，采用非监督分类-模糊聚类可以将船只、海上人造目标、船尾迹等识别开来，在海上目标识别方面将有广阔的应用前景。 应用极化电磁波基本理论，将极化熵概念应用到船只监测。首次采用Bragg模式和双尺度模式分析两种不同极化熵随着入射角、波数和风场的变化情况，从而确定在低风速下Cloude熵相对Touzi熵更适合船只监测。

Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach.

This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data. We consider the initial classification provided by the maximum-likelihood classifier based on the complex Wishart distribution, which is then supplied to the HNN optimization approach. The goal is to improve the classification results obtained by the Wishart approach. The classification improvement is verified by computing a cluster separability coefficient and a measure of homogeneity within the clusters. During the HNN optimization process, for each iteration and for each pixel, two consistency coefficients are computed, taking into account two types of relations between the pixel under consideration and its corresponding neighbors. Based on these coefficients and on the information coming from the pixel itself, the pixel under study is re-classified. Different experiments are carried out to verify that the proposed approach outperforms other strategies, achieving the best results in terms of separability and a trade-off with the homogeneity preserving relevant structures in the image. The performance is also measured in terms of computational central processing unit (CPU) times.

A requirements and capability discussion : UAS for SAR and law enforcement

This presentation explores the requirements and capabilities of Unmanned Aircraft Systems (UAS) for applications in Law Enforcement and Search and Rescue.

Synthesis and in vitro cytotoxic evaluation of novel diazaspiro bicyclo hydantoin derivatives in human leukemia cells: A SAR study

To study the structure activity relationship (SAR) on the cytotoxic activity and probe the structural requirement for the potent antitumor activity, a series of novel diazaspiro bicyclo hydantoin derivatives were designed and synthesized. Their structures were confirmed by H-1 NMR, LCMS and IR analyses. The antiproliferative effect of these compounds were determined against human leukemia, K562 (chronic myelogenous leukemia) and CEM (T-cell leukemia) cells using trypan blue and MTT assay, and the SAR associated with the position of N-terminal substituents in diazaspiro bicyclo hydantoin have also been discussed. It has been observed that these compounds displayed strong, moderate and weak cytotoxic activities. Interestingly, compounds having electron withdrawing groups at third and fourth position of the phenyl ring displayed selectively cytotoxic activities to both the cell lines tested with IC50 value lower than 50 mu M. In addition, the cytotoxic activities of the compounds 7(a-o) bearing the substituents at N-3 position of diazaspiro bicyclo hydantoin increases in the order alkene > ester > ether and plays an important role in determining their antitumor activities. The position and number of substituents in benzyl group attached to N-8 of diazaspiro bicyclo hydantoin nucleus interacted selectively with specific targets leading to the difference of biochemical and pharmacological effects.

A Generalized Approach to Multiresolution Complex SAR Signal Processing

Multiresolution synthetic aperture radar (SAR) image formation has been proven to be beneficial in a variety of applications such as improved imaging and target detection as well as speckle reduction. SAR signal processing traditionally carried out in the Fourier domain has inherent limitations in the context of image formation at hierarchical scales. We present a generalized approach to the formation of multiresolution SAR images using biorthogonal shift-invariant discrete wavelet transform (SIDWT) in both range and azimuth directions. Particularly in azimuth, the inherent subband decomposition property of wavelet packet transform is introduced to produce multiscale complex matched filtering without involving any approximations. This generalized approach also includes the formulation of multilook processing within the discrete wavelet transform (DWT) paradigm. The efficiency of the algorithm in parallel form of execution to generate hierarchical scale SAR images is shown. Analytical results and sample imagery of diffuse backscatter are presented to validate the method.

NMR and X-ray crystallographic studies on cyclic tetrapeptide, cyclo (D-Phe-Pro-Sar-Gly)

The conformation of the synthetic cyclic tetrapeptide cyclo(D-Phe-Pro-Sar-Gly) has been determined in solution using the nuclear magnetic resonance technique and in the crystal state by X-ray crystallography. Results showed that the peptide exhibited two different conformations in solution, conformer 1 having cis-trans-cis-trans peptide bonds and conformer 2 having trans-cis-trans-cis peptide bonds. No intramolecular hydrogen bonds were observed in the structures. The X-ray diffraction studies showed the crystals to be orthorhombic with space group P2(1)2(1)2(1) with unit-cell dimensions, a = 5.790, b = 10.344, c = 31.446 A, Z = 4, R = 0.104 for 2301 observed reflections. The crystal structure showed only one type of conformer having cis-trans-cis-trans peptide bonds similar to the conformer 1 in solution.

A discrete wavelet transform approach to multiresolution complex SAR image generation

We present a signal processing approach using discrete wavelet transform (DWT) for the generation of complex synthetic aperture radar (SAR) images at an arbitrary number of dyadic scales of resolution. The method is computationally efficient and is free from significant system-imposed limitations present in traditional subaperture-based multiresolution image formation. Problems due to aliasing associated with biorthogonal decomposition of the complex signals are addressed. The lifting scheme of DWT is adapted to handle complex signal approximations and employed to further enhance the computational efficiency. Multiresolution SAR images formed by the proposed method are presented.

Energy efficient asymmetric binary search switching technique for SAR ADC

An asymmetric binary search switching technique for a successive approximation register (SAR) ADC is presented, and trade-off between switching energy and conversion cycles is discussed. Without using any additional switches, the proposed technique consumes 46% less switching energy, for a small input swing (0.5 V-ref (P-P)), as compared to the last reported efficient switching technique in literature for an 8-bit SAR ADC. For a full input swing (2 V-ref (P-P)), the proposed technique consumes 16.5% less switching energy.

Preferential condensation of SAR-DNA by histone H1 and its SPKK containing octapeptide repeat motif

Linker histone H1 binds preferentially the scaffold associated region (SAR) DNA elements that contain characteristic oligo dA . dT tracts. In the present study, we have compared the condensation brought about by histone H1 of a SAR DNA fragment in the histone spacer region of Drosophila melanogaster with that of a random DNA (pBR322 EcoRI-SalI) fragment by circular dichroism spectroscopy. The condensation of the SAR DNA fragment by histone H1 is 3-4-fold higher than that of the random DNA fragment. A 16-mer peptide, ATPKKSTKKTPKKAKK, the sequence that is present in the C-terminus of histone H1d, which has recently been shown to possess DIVA and chromatin condensing properties, also condenses the SAR DNA fragment preferentially in a highly cooperative manner. We have proposed a model for the dynamics of chromatin structure involving histone H1-SAR DNA interaction through SPKK containing peptide motifs and its competition by AT-hook peptides present in the nonhistone chromosomal proteins like HMG-I and HMG-Y.

An 8-to-1 bit 1-MS/s SAR ADC With VGA and Integrated Data Compression for Neural Recording

Low power consumption per channel and data rate minimization are two key challenges which need to be addressed in future generations of neural recording systems (NRS). Power consumption can be reduced by avoiding unnecessary processing whereas data rate is greatly decreased by sending spike time-stamps along with spike features as opposed to raw digitized data. Dynamic range in NRS can vary with time due to change in electrode-neuron distance or background noise, which demands adaptability. An analog-to-digital converter (ADC) is one of the most important blocks in a NRS. This paper presents an 8-bit SAR ADC in 0.13-mu m CMOS technology along with input and reference buffer. A novel energy efficient digital-to-analog converter switching scheme is proposed, which consumes 37% less energy than the present state-of-the-art. The use of a ping-pong input sampling scheme is emphasized for multichannel input to alleviate the bandwidth requirement of the input buffer. To reduce the data rate, the A/D process is only enabled through the in-built background noise rejection logic to ensure that the noise is not processed. The ADC resolution can be adjusted from 8 to 1 bit in 1-bit step based on the input dynamic range. The ADC consumes 8.8 mu W from 1 V supply at 1 MS/s speed. It achieves effective number of bits of 7.7 bits and FoM of 42.3 fJ/conversion-step.

Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region

The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-temporal Synthetic Aperture Radar (SAR) data. The developed algorithm is based on the Cumulative Density Function (CDF) transformation of multi-temporal RADARSAT-2 backscatter coefficient (BC) to obtain relative SM values, and then converts relative SM values into absolute SM values using soil information. The algorithm is tested in a semi-arid tropical region in South India using 30 satellite images of RADARSAT-2, SMOS L2 SM products, and 1262 SM field measurements in 50 plots spanning over 4 years. The validation with the field data showed the ability of the developed algorithm to retrieve SM with RMSE ranging from 0.02 to 0.06 m(3)/m(3) for the majority of plots. Comparison with the SMOS SM showed a good temporal behaviour with RMSE of approximately 0.05 m(3)/m(3) and a correlation coefficient of approximately 0.9. The developed model is compared and found to be better than the change detection and delta index model. The approach does not require calibration of any parameter to obtain relative SM and hence can easily be extended to any region having time series of SAR data available.

Acoplamento de simulador de imagens SAR a interpretador MPI para estimação do espectro direcional de ondas.

O protótipo de uma interface gráfica para análise de imagens SAR (radar de abertura sintética - da sigla em inglês (Synthetic Aperture Radar) vem sendo desenvolvido e aperfeiçoado. Em seu estágio atual, a ferramenta é capaz de extrair o espectro direcional de ondas e o campo de ventos de imagens ERS 1&2. Dentre as diversas abordagens empregadas no desenvolvimento do protótipo, pode-se citar a avaliação da metodologia atualmente utilizada na interpretação das imagens. Neste sentido, é apresentada uma proposta de geração de imagens SAR sintéticas, de forma a viabilizar a avaliação do método de extração de parâmetros meteo-oceanográficos a partir do acoplamento do simulador de imagens com o interpretador utilizado no protótipo. Uma comparação detalhada entre os valores empregados para simulação e os resultados sacados da interface torna possível identificar possíveis deficiências e indicar aperfeiçoamentos ao método. Desta forma, o presente trabalho, além de discutir o protótipo para análise de imagens SAR, apresenta o desenvolvimento do acoplamento do simulador de imagens. Os resultados obtidos indicam que o acoplamento atingiu parcialmente seu objetivo apresentando bons resultados na interpretação das direções. Porém, ainda há algumas questões a serem avaliadas para a obtenção de resultados mais consistentes.